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ORCIDPonnuthurai N. Suganthan
Ponnuthurai Nagaratnam Suganthan
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- affiliation: Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
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2020 – today
- 2025
[j270]Yida Ning, Zhenzu Bai, Juhui Wei, Ponnuthurai Nagaratnam Suganthan, Lining Xing, Jiongqi Wang, Yan-Jie Song:
A meta-heuristic algorithm combined with deep reinforcement learning for multi-sensor positioning layout problem in complex environment. Expert Syst. Appl. 261: 125555 (2025)- [j269]Ponnuthurai Nagaratnam Suganthan
, Lingping Kong, Václav Snásel, Varun Ojha, Hussein Ahmed Hussein Zaky Aly:
Euclidean and Poincaré space ensemble Xgboost. Inf. Fusion 115: 102746 (2025) - 2024
- [j268]Faria Nawshin, Devrim Unal, Mohammad Hammoudeh, Ponnuthurai N. Suganthan:
AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks. Ad Hoc Networks 161: 103523 (2024) - [j267]Ruilin Li, Minghui Hu, Ruobin Gao, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina:
TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition. Adv. Eng. Informatics 62: 102575 (2024) - [j266]Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Ying-Wu Chen, Yutong Wu:
Ensemble reinforcement learning: A survey. Appl. Soft Comput. 149(Part A): 110975 (2024) - [j265]Yaxian Ren, Kaizhou Gao, Yaping Fu, Dachao Li, Ponnuthurai Nagaratnam Suganthan:
Ensemble artificial bee colony algorithm with Q-learning for scheduling Bi-objective disassembly line. Appl. Soft Comput. 155: 111415 (2024) - [j264]Aryan Bhambu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan:
Recurrent ensemble random vector functional link neural network for financial time series forecasting. Appl. Soft Comput. 161: 111759 (2024) - [j263]Yaping Fu, Yifeng Wang, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Min Huang:
Integrated scheduling of multi-constraint open shop and vehicle routing: Mathematical model and learning-driven brain storm optimization algorithm. Appl. Soft Comput. 163: 111943 (2024) - [j262]Hui Yu, Kaizhou Gao, Zhiwu Li, Ponnuthurai Nagaratnam Suganthan:
Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics. Appl. Soft Comput. 166: 112247 (2024) - [j261]Jinlong Zhou, Yinggui Zhang, Fan Yu, Xu Yang, Ponnuthurai Nagaratnam Suganthan:
A staged fuzzy evolutionary algorithm for constrained large-scale multiobjective optimization. Appl. Soft Comput. 167: 112297 (2024) - [j260]Faria Nawshin, Radwa Gad, Devrim Unal, Abdulla Khalid Al-Ali, Ponnuthurai N. Suganthan:
Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey. Comput. Electr. Eng. 117: 109233 (2024) - [j259]Jing Liang, Yuyang Zhang, Ke Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan:
An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification. Sci. China Inf. Sci. 67(2) (2024) - [j258]Hui Yu, Kai-Zhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan:
Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling. Eng. Appl. Artif. Intell. 134: 108668 (2024) - [j257]Jing Liang, Hongyu Lin, Caitong Yue, Ponnuthurai Nagaratnam Suganthan, Yaonan Wang:
Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization. IEEE CAA J. Autom. Sinica 11(6): 1458-1475 (2024) - [j256]Kangjia Qiao, Jing J. Liang, Kunjie Yu, Xuanxuan Ban, Caitong Yue, Boyang Qu, Ponnuthurai Nagaratnam Suganthan:
Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems. IEEE CAA J. Autom. Sinica 11(8): 1819-1835 (2024) - [j255]Václav Snásel, Martin Stepnicka, Varun Ojha, Ponnuthurai Nagaratnam Suganthan, Ruobin Gao, Lingping Kong:
Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network. Inf. Fusion 102: 102067 (2024) - [j254]Ahmed G. Gad, Essam H. Houssein, MengChu Zhou, Ponnuthurai Nagaratnam Suganthan, Yaser Maher Wazery:
Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing. IEEE Internet Things J. 11(1): 1698-1710 (2024) - [j253]Guojiang Xiong, Zaiyu Gu, Muhammad Aliman, Houssem Rafik El-Hana Bouchekara, Ponnuthurai Nagaratnam Suganthan:
Accurate parameters extraction of photovoltaic models with multi-strategy gaining-sharing knowledge-based algorithm. Inf. Sci. 670: 120627 (2024) - [j252]Kangjia Qiao, Jing Liang, Weifeng Guo, Zhuo Hu, Kunjie Yu, Ponnuthurai N. Suganthan:
Knowledge-embedded constrained multiobjective evolutionary algorithm based on structural network control principles for personalized drug targets recognition in cancer. Inf. Sci. 679: 121033 (2024) - [j251]Hussein Aly, Abdulaziz K. Al-Ali, Ponnuthurai Nagaratnam Suganthan:
Boosted multilayer feedforward neural network with multiple output layers. Pattern Recognit. 156: 110740 (2024) - [j250]Kangjia Qiao, Jing Liang, Kunjie Yu, Weifeng Guo, Caitong Yue, Boyang Qu, Ponnuthurai N. Suganthan:
Benchmark problems for large-scale constrained multi-objective optimization with baseline results. Swarm Evol. Comput. 86: 101504 (2024) - [j249]Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, Ponnuthurai Nagaratnam Suganthan, Yue Zhang, Witold Pedrycz, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani, Qiang Feng:
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities. Swarm Evol. Comput. 86: 101517 (2024) - [j248]Yang Wang, Guojiang Xiong, Shengping Xu, Ponnuthurai Nagaratnam Suganthan:
Large-scale power system multi-area economic dispatch considering valve point effects with comprehensive learning differential evolution. Swarm Evol. Comput. 89: 101620 (2024) - [j247]Essam H. Houssein, Ahmed G. Gad, Yaser Maher Wazery, Ponnuthurai Nagaratnam Suganthan:
Corrigendum to "Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends" [Swarm and Evolutionary Computation, Volume 62 (April 2021), 100841]. Swarm Evol. Comput. 89: 101647 (2024) - [j246]Oladayo S. Ajani, Dzeuban Fenyom Ivan, Daison Darlan, Ponnuthurai N. Suganthan, Kaizhou Gao, Rammohan Mallipeddi:
Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment. Swarm Evol. Comput. 90: 101692 (2024) - [j245]Yelleti Vivek, Vadlamani Ravi, Ponnuthurai Nagaratnam Suganthan, P. Radha Krishna:
Parallel fractional dominance MOEAs for feature subset selection in big data. Swarm Evol. Comput. 91: 101687 (2024) - [j244]Behrouz Ahadzadeh, Moloud Abdar, Mahdieh Foroumandi, Fatemeh Safara, Abbas Khosravi, Salvador García, Ponnuthurai Nagaratnam Suganthan:
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data. Swarm Evol. Comput. 91: 101715 (2024) - [j243]Jinlong Zhou, Yinggui Zhang, Ponnuthurai Nagaratnam Suganthan:
Constrained large-scale multiobjective optimization based on a competitive and cooperative swarm optimizer. Swarm Evol. Comput. 91: 101735 (2024) - [j242]Peng Chen, Zhimeng Li, Kangjia Qiao, Ponnuthurai N. Suganthan, Xuanxuan Ban, Kunjie Yu, Caitong Yue, Jing Liang:
An archive-assisted multi-modal multi-objective evolutionary algorithm. Swarm Evol. Comput. 91: 101738 (2024) - [j241]Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Ran Yan, Dongming Fan, Yue Zhang:
Energy-Efficient Satellite Range Scheduling Using a Reinforcement Learning-Based Memetic Algorithm. IEEE Trans. Aerosp. Electron. Syst. 60(4): 4073-4087 (2024) - [j240]Raveendra Pilli, Tripti Goel, R. Murugan, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation. IEEE Trans. Cogn. Dev. Syst. 16(4): 1342-1351 (2024) - [j239]Ashwani Kumar Malik, M. A. Ganaie, M. Tanveer, Ponnuthurai N. Suganthan:
Extended Features Based Random Vector Functional Link Network for Classification Problem. IEEE Trans. Comput. Soc. Syst. 11(4): 4744-4753 (2024) - [j238]Ashwani Kumar Malik, M. A. Ganaie, M. Tanveer, Ponnuthurai N. Suganthan:
Alzheimer's Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network. IEEE Trans. Comput. Soc. Syst. 11(4): 4754-4765 (2024) - [j237]M. Sajid, Ashwani Kumar Malik, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems. IEEE Trans. Fuzzy Syst. 32(5): 2738-2749 (2024) - [j236]Shunshun Sun, Guojiang Xiong, Ponnuthurai Nagaratnam Suganthan:
Orthogonal Experimental Design Based Binary Optimization Without Iteration for Fault Section Diagnosis of Power Systems. IEEE Trans. Ind. Informatics 20(2): 2611-2619 (2024) - [j235]Lou-Lei Dai, Quan-Ke Pan, Zhong-Hua Miao, Ponnuthurai Nagaratnam Suganthan, Kai-Zhou Gao:
Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm. IEEE Trans. Intell. Transp. Syst. 25(6): 6061-6073 (2024) - [j234]Zhongjie Lin, Kaizhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan:
Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions. IEEE Trans. Intell. Transp. Syst. 25(10): 15053-15064 (2024) - [j233]Minghui Hu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan:
Self-Distillation for Randomized Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16119-16128 (2024) - [j232]Jinlong Zhou, Yinggui Zhang, Juan Wang, Ponnuthurai Nagaratnam Suganthan:
Localized Constrained-Domination Principle for Constrained Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1376-1387 (2024) - [j231]Yanjie Song, Junwei Ou, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan, Xinwei Wang, Lining Xing, Yue Zhang:
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2576-2589 (2024) - [j230]Hui Yu, Kaizhou Gao, Naiqi Wu, MengChu Zhou, Ponnuthurai N. Suganthan, Shouguang Wang:
Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3321-3333 (2024) - [j229]Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen, Boyang Qu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan:
A Space Transformation-Based Multiform Approach for Multiobjective Feature Selection in High-Dimensional Classification. IEEE Trans. Syst. Man Cybern. Syst. 54(12): 7305-7317 (2024) - [j228]Jiaying Chen, Keyu Wu, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Anamitra Makur:
LiDAR-Based End-to-End Active SLAM Using Deep Reinforcement Learning in Large-Scale Environments. IEEE Trans. Veh. Technol. 73(10): 14187-14200 (2024) - [j227]Xuewen Luo, Ruobin Gao, Hsiao-Hwa Chen, Shuyi Chen, Qing Guo, Ponnuthurai Nagaratnam Suganthan:
Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion. IEEE Wirel. Commun. 31(2): 117-125 (2024) - [c213]Faria Nawshin, Romain Arnal, Devrim Unal, Ponnuthurai N. Suganthan, Lionel Touseau:
Assessing the Effect of Model Poisoning Attacks on Federated Learning in Android Malware Detection. AICCONF 2024: 147-154 - [c212]Peng Chen, Jing J. Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban:
A Two-Stage Evolutionary Framework for Multi-Objective Optimization. CEC 2024: 1-7 - [c211]Subrat Prasad Panda, Blaise Genest, Arvind Easwaran, Ponnuthurai Nagaratnam Suganthan:
Vanilla Gradient Descent for Oblique Decision Trees. ECAI 2024: 1140-1147 - [c210]Ruke Cheng, Ruobin Gao, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen:
Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing. IJCNN 2024: 1-8 - [c209]Minghui Hu, Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan:
Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification. IJCNN 2024: 1-8 - [c208]Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy:
Class-incremental Learning for Time Series: Benchmark and Evaluation. KDD 2024: 5613-5624 - [i31]Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy:
Class-incremental Learning for Time Series: Benchmark and Evaluation. CoRR abs/2402.12035 (2024) - [i30]Jiaying Chen, Han Wang, Minghui Hu, Ponnuthurai Nagaratnam Suganthan:
Versatile LiDAR-Inertial Odometry With SE (2) Constraints for Ground Vehicles. CoRR abs/2404.01584 (2024) - [i29]Peng Chen, Jing Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban:
A Two-stage Evolutionary Framework For Multi-objective Optimization. CoRR abs/2407.06536 (2024) - [i28]Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan:
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art. CoRR abs/2407.13264 (2024) - [i27]Subrat Prasad Panda, Blaise Genest, Arvind Easwaran, Ponnuthurai Nagaratnam Suganthan:
Vanilla Gradient Descent for Oblique Decision Trees. CoRR abs/2408.09135 (2024) - [i26]Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems. CoRR abs/2410.03205 (2024) - [i25]Abdul Quadir, M. Sajid, Mushir Akhtar, M. Tanveer, Ponnuthurai N. Suganthan:
Enhanced Feature Based Granular Ball Twin Support Vector Machine. CoRR abs/2410.05786 (2024) - 2023
- [j226]Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, M. Tanveer, Ponnuthurai Nagaratnam Suganthan:
Random vector functional link network: Recent developments, applications, and future directions. Appl. Soft Comput. 143: 110377 (2023) - [j225]Mostafa Z. Ali, Heba Abdel-Nabi, Rami Alazrai, Bushra AlHijawi, Mazen G. AlWadi, Amer F. Al-Badarneh, Ponnuthurai N. Suganthan, Mohammad I. Daoud, Robert G. Reynolds:
A cultural evolution with a modified selection function and adaptive α-cognition procedure for numerical optimization. Appl. Soft Comput. 144: 110483 (2023) - [j224]Liang Wang, Kaizhou Gao, Zhongjie Lin, Wuze Huang, Ponnuthurai Nagaratnam Suganthan:
Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems. Appl. Soft Comput. 147: 110714 (2023) - [j223]Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Mohammad I. Daoud, Rami Alazrai, Ponnuthurai N. Suganthan, Talal Ali:
A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks. Clust. Comput. 26(5): 3145-3185 (2023) - [j222]Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen:
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning. Eng. Appl. Artif. Intell. 117(Part): 105535 (2023) - [j221]Ruilin Li, Ruobin Gao, Liqiang Yuan, Ponnuthurai N. Suganthan, Lipo Wang, Olga Sourina:
An enhanced ensemble deep random vector functional link network for driver fatigue recognition. Eng. Appl. Artif. Intell. 123(Part A): 106237 (2023) - [j220]Sreenivasan Shiva, Minghui Hu, Ponnuthurai Nagaratnam Suganthan:
Online learning using deep random vector functional link network. Eng. Appl. Artif. Intell. 125: 106676 (2023) - [j219]Yuanzhen Li, Kaizhou Gao, Leilei Meng, Ponnuthurai Nagaratnam Suganthan:
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption. Eng. Appl. Artif. Intell. 126: 107011 (2023) - [j218]Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan, Jian Cui, Olga Sourina, Lipo Wang:
A spectral-ensemble deep random vector functional link network for passive brain-computer interface. Expert Syst. Appl. 227: 120279 (2023) - [j217]Ruilin Li, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan:
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition. Inf. Sci. 624: 833-848 (2023) - [j216]Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Rami Alazrai, Mohammad I. Daoud, Ponnuthurai N. Suganthan:
An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization. Inf. Sci. 628: 92-133 (2023) - [j215]Lingping Kong, Varun Ojha, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, Václav Snásel:
Low-rank and global-representation-key-based attention for graph transformer. Inf. Sci. 642: 119108 (2023) - [j214]Jinlong Zhou, Yinggui Zhang, Ponnuthurai N. Suganthan:
Dual population approximate constrained Pareto front for constrained multiobjective optimization. Inf. Sci. 648: 119591 (2023) - [j213]Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai N. Suganthan, Kum Fai Yuen:
Online dynamic ensemble deep random vector functional link neural network for forecasting. Neural Networks 166: 51-69 (2023) - [j212]Jiaying Chen, Han Wang, Minghui Hu, Ponnuthurai Nagaratnam Suganthan:
Versatile LiDAR-Inertial Odometry With SE(2) Constraints for Ground Vehicles. IEEE Robotics Autom. Lett. 8(6): 3486-3493 (2023) - [j211]Zhongqiang Ma, Guohua Wu, Ponnuthurai Nagaratnam Suganthan, Aijuan Song, Qizhang Luo:
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms. Swarm Evol. Comput. 77: 101248 (2023) - [j210]Kenneth V. Price, Abhishek Kumar, Ponnuthurai N. Suganthan:
Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests. Swarm Evol. Comput. 78: 101287 (2023) - [j209]Yanjie Song, Junwei Ou, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Qinwen Yang, Lining Xing:
Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling. IEEE Trans. Aerosp. Electron. Syst. 59(6): 9010-9025 (2023) - [j208]Xuan He, Quan-Ke Pan, Liang Gao, Ling Wang, Ponnuthurai Nagaratnam Suganthan:
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems. IEEE Trans. Evol. Comput. 27(3): 430-444 (2023) - [j207]Aijuan Song, Guohua Wu, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz:
Automatic Variable Reduction. IEEE Trans. Evol. Comput. 27(4): 1027-1041 (2023) - [j206]Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan:
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data. IEEE Trans. Evol. Comput. 27(6): 1896-1911 (2023) - [j205]Rui Wang, Lining Xing, Maoguo Gong, Ponnuthurai Nagaratnam Suganthan, Hisao Ishibuchi:
Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 981-982 (2023) - [j204]Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan, Abbas Khosravi:
Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks. IEEE Trans. Ind. Informatics 19(3): 2814-2825 (2023) - [j203]Rahul Sharma, Tripti Goel, Muhammad Tanveer, Ponnuthurai N. Suganthan, Imran Razzak, R. Murugan:
Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis. IEEE J. Biomed. Health Informatics 27(10): 4995-5003 (2023) - [j202]Huan Liu, Guohua Wu, Ling Zhou, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
Tangent-Based Path Planning for UAV in a 3-D Low Altitude Urban Environment. IEEE Trans. Intell. Transp. Syst. 24(11): 12062-12077 (2023) - [j201]Zhongjie Lin, Kaizhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan:
Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search. IEEE Trans. Intell. Transp. Syst. 24(12): 14415-14426 (2023) - [j200]Yulin He, Xuan Ye, Laizhong Cui, Philippe Fournier-Viger, Chengwen Luo, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan:
Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network. IEEE Trans. Netw. Sci. Eng. 10(3): 1283-1296 (2023) - [j199]Minghui Hu, Jet Herng Chion, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal:
Ensemble Deep Random Vector Functional Link Neural Network for Regression. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 2604-2615 (2023) - [c207]Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Rami Alazrai, Mohammad I. Daoud, Ponnuthurai N. Suganthan, Robert G. Reynolds:
3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization. CEC 2023: 1-8 - [c206]Qiao ZhongZheng, Minghui Hu, Xudong Jiang, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy:
Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation. ICASSP 2023: 1-5 - [c205]Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan:
Unified Discrete Diffusion for Simultaneous Vision-Language Generation. ICLR 2023 - [c204]Ruobin Gao, Sibo Yang, Meng Yuan, Xuefei Song, Ponnuthurai Nagaratnam Suganthan, Wei Tech Ang:
Online ensemble deep random vector functional link for the assistive robots. IJCNN 2023: 1-8 - [c203]Andriy Sarabakha, Qiao ZhongZheng, Savitha Ramasamy, Ponnuthurai Nagaratnam Suganthan:
Online Continual Learning for Control of Mobile Robots. IJCNN 2023: 1-10 - [c202]Muhammad Tanveer, Shradha Verma, Rahul Sharma, Tripti Goel, Ponnuthurai N. Suganthan:
Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images. IJCNN 2023: 1-8 - [i24]Yanjie Song, Ponnuthurai N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen:
Ensemble Reinforcement Learning: A Survey. CoRR abs/2303.02618 (2023) - [i23]Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan:
SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data. CoRR abs/2303.10182 (2023) - [i22]Yangyang Guo, Hao Wang, Lei He, Witold Pedrycz, Ponnuthurai N. Suganthan, Yanjie Song:
A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching. CoRR abs/2304.04022 (2023) - [i21]M. A. Ganaie, Muhammad Tanveer, Iman Beheshti, Nehal Ahmad, Ponnuthurai N. Suganthan:
Heterogeneous Oblique Double Random Forest. CoRR abs/2304.06788 (2023) - [i20]Depeng Li, Tianqi Wang, Bingrong Xu, Kenji Kawaguchi, Zhigang Zeng, Ponnuthurai Nagaratnam Suganthan:
IF2Net: Innately Forgetting-Free Networks for Continual Learning. CoRR abs/2306.10480 (2023) - [i19]Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, Ponnuthurai N. Suganthan, Yue Zhang, Witold Pedrycz, Yingwu Chen, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani:
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities. CoRR abs/2308.13420 (2023) - 2022
- [j198]Minghui Hu, Ponnuthurai N. Suganthan:
Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method? Appl. Soft Comput. 126: 109257 (2022) - [j197]Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang:
Graph ensemble deep random vector functional link network for traffic forecasting. Appl. Soft Comput. 131: 109809 (2022) - [j196]M. A. Ganaie, Minghui Hu, Ashwani Kumar Malik, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Ensemble deep learning: A review. Eng. Appl. Artif. Intell. 115: 105151 (2022) - [j195]Qiushi Shi, Ponnuthurai Nagaratnam Suganthan, Javier Del Ser:
Jointly optimized ensemble deep random vector functional link network for semi-supervised classification. Eng. Appl. Artif. Intell. 115: 105214 (2022) - [j194]Yu-Lin He, Guiliang Ou, Philippe Fournier-Viger, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan:
A novel dependency-oriented mixed-attribute data classification method. Expert Syst. Appl. 199: 116782 (2022) - [j193]Ruobin Gao, Liang Du, Ponnuthurai Nagaratnam Suganthan, Qin Zhou, Kum Fai Yuen:
Random vector functional link neural network based ensemble deep learning for short-term load forecasting. Expert Syst. Appl. 206: 117784 (2022) - [j192]Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Automated layer-wise solution for ensemble deep randomized feed-forward neural network. Neurocomputing 514: 137-147 (2022) - [j191]Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang:
Bayesian optimization based dynamic ensemble for time series forecasting. Inf. Sci. 591: 155-175 (2022) - [j190]Tianping Liu, Guojiang Xiong, Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan:
Opposition-mutual learning differential evolution with hybrid mutation strategy for large-scale economic load dispatch problems with valve-point effects and multi-fuel options. Inf. Sci. 609: 1721-1745 (2022) - [j189]Ramen Pal, Somnath Mukhopadhyay, Debasish Chakraborty, Ponnuthurai Nagaratnam Suganthan:
Very high-resolution satellite image segmentation using variable-length multi-objective genetic clustering for multi-class change detection. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part B): 9964-9976 (2022) - [j188]Changsong Li, Guojiang Xiong, Xiaofan Fu, Ali Wagdy Mohamed, Xufeng Yuan, Mohammed Azmi Al-Betar, Ponnuthurai Nagaratnam Suganthan:
Takagi-Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm. Knowl. Based Syst. 255: 109773 (2022) - [j187]M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan, Václav Snásel:
Oblique and rotation double random forest. Neural Networks 153: 496-517 (2022) - [j186]Minghui Hu, Ponnuthurai N. Suganthan:
Representation learning using deep random vector functional link networks for clustering. Pattern Recognit. 129: 108744 (2022) - [j185]Qiushi Shi, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal:
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification. Pattern Recognit. 132: 108879 (2022) - [j184]Abhishek Kumar, Partha P. Biswas, Ponnuthurai N. Suganthan:
Differential evolution with orthogonal array-based initialization and a novel selection strategy. Swarm Evol. Comput. 68: 101010 (2022) - [j183]Eneko Osaba, Javier Del Ser, Ponnuthurai N. Suganthan:
Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future. Swarm Evol. Comput. 75: 101203 (2022) - [j182]Guohua Wu, Qizhang Luo, Xiao Du, Yingguo Chen, Ponnuthurai Nagaratnam Suganthan, Xinwei Wang:
Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-and-Conquer Framework for Multisatellite Observation Scheduling. IEEE Trans. Aerosp. Electron. Syst. 58(5): 4396-4408 (2022) - [j181]Jun-Qing Li, Yu Du, Kai-Zhou Gao, Pei-Yong Duan, Dun-Wei Gong, Quan-Ke Pan, Ponnuthurai N. Suganthan:
A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem. IEEE Trans Autom. Sci. Eng. 19(3): 2153-2170 (2022) - [j180]Guohua Wu, Xupeng Wen, Ling Wang, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques. IEEE Trans. Evol. Comput. 26(4): 646-660 (2022) - [j179]Parul Arora, Abbas Khosravi, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan:
Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 628-637 (2022) - [j178]Ruobin Gao, Wen Xin Cheng, Ponnuthurai N. Suganthan, Kum Fai Yuen:
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning. IEEE J. Biomed. Health Informatics 26(10): 4966-4975 (2022) - [j177]Ruilin Li, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina:
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics. IEEE J. Biomed. Health Informatics 26(10): 4996-5003 (2022) - [j176]Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
An Autonomous Path Planning Method for Unmanned Aerial Vehicle Based on a Tangent Intersection and Target Guidance Strategy. IEEE Trans. Intell. Transp. Syst. 23(4): 3061-3073 (2022) - [j175]Qizhang Luo, Guohua Wu, Bin Ji, Ling Wang, Ponnuthurai Nagaratnam Suganthan:
Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows. IEEE Trans. Intell. Transp. Syst. 23(8): 13011-13025 (2022) - [j174]Guohua Wu, Ni Mao, Qizhang Luo, Binjie Xu, Jianmai Shi, Ponnuthurai Nagaratnam Suganthan:
Collaborative Truck-Drone Routing for Contactless Parcel Delivery During the Epidemic. IEEE Trans. Intell. Transp. Syst. 23(12): 25077-25091 (2022) - [j173]Wenbo Qiu, Jianghan Zhu, Guohua Wu, Huangke Chen, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
Ensemble Many-Objective Optimization Algorithm Based on Voting Mechanism. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1716-1730 (2022) - [c201]Heba Abdel-Nabi, Mostafa Z. Ali, Mohammad I. Daoud, Rami Alazrai, Arafat Awajan, Robert G. Reynolds, Ponnuthurai N. Suganthan:
An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization. CEC 2022: 1-8 - [c200]Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan:
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation. CVPR 2022: 11492-11501 - [c199]Ruilin Li, Jian Cui, Ruobin Gao, Ponnuthurai N. Suganthan, Olga Sourina, Lipo Wang, Chun-Hsien Chen:
Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study. CW 2022: 209-212 - [c198]Yanpeng Zhou, Maosen Wang, Manas Gupta, Arulmurugan Ambikapathi, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy:
Investigating Robustness of Biological vs. Backprop Based Learning. ICASSP 2022: 3533-3537 - [c197]Liu Guimeng, Guo Yang, Cheryl Sze Yin Wong, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy:
Unsupervised Generative Variational Continual Learning. ICIP 2022: 4028-4032 - [c196]Ashwani Kumar Malik, Mudasir Ahmad Ganaie, M. Tanveer, Ponnuthurai N. Suganthan:
Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem. ICONIP (1) 2022: 248-259 - [c195]Wen Xin Cheng, Ponnuthurai Nagaratnam Suganthan:
Adaptive Scaling for U-Net in Time Series Classification. ICONIP (1) 2022: 309-320 - [c194]Qiushi Shi, Ponnuthurai Nagaratnam Suganthan:
Double Regularization-Based RVFL and edRVFL Networks for Sparse-Dataset Classification. ICONIP (1) 2022: 343-354 - [c193]Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang:
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network. IJCNN 2022: 1-7 - [c192]M. A. Ganaie, Muhammad Tanveer, Ashwani Kumar Malik, Ponnuthurai N. Suganthan:
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information. IJCNN 2022: 1-8 - [c191]Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan:
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification. IJCNN 2022: 1-8 - [c190]Ruobin Gao, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen, Muhammad Tanveer:
Echo state neural network based ensemble deep learning for short-term load forecasting. SSCI 2022: 277-284 - [c189]Ruilin Li, Ruobin Gao, Jian Cui, Ponnuthurai N. Suganthan, Olga Sourina:
Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition. SSCI 2022: 300-307 - [i18]Qiushi Shi, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal:
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification. CoRR abs/2201.05809 (2022) - [i17]Sujanya Suresh, Savitha Ramasamy, Ponnuthurai N. Suganthan, Cheryl Sze Yin Wong:
Incremental Knowledge Tracing from Multiple Schools. CoRR abs/2201.06941 (2022) - [i16]Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan:
A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance. CoRR abs/2203.09477 (2022) - [i15]Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Random vector functional link network: recent developments, applications, and future directions. CoRR abs/2203.11316 (2022) - [i14]Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan:
Unified Discrete Diffusion for Simultaneous Vision-Language Generation. CoRR abs/2211.14842 (2022) - [i13]Nisal Ranasinghe, A. Ramanan, S. Fernando, Pathima Nusrath Hameed, Damayanthi Herath, Tamasha Malepathirana, Ponnuthurai N. Suganthan, M. Niranjan, Saman K. Halgamuge:
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications. CoRR abs/2211.16699 (2022) - [i12]Kenneth V. Price, Abhishek Kumar, Ponnuthurai N. Suganthan:
Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers. CoRR abs/2212.09423 (2022) - [i11]Zhongqiang Ma, Guohua Wu, Ponnuthurai N. Suganthan, Aijuan Song, Qizhang Luo:
Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms. CoRR abs/2212.09479 (2022) - 2021
- [j172]Ponnuthurai N. Suganthan, Rakesh Katuwal:
On the origins of randomization-based feedforward neural networks. Appl. Soft Comput. 105: 107239 (2021) - [j171]Mohammad Tanveer, M. A. Ganaie, Ponnuthurai N. Suganthan:
Ensemble of classification models with weighted functional link network. Appl. Soft Comput. 107: 107322 (2021) - [j170]Ruobin Gao, Liang Du, Kum Fai Yuen, Ponnuthurai Nagaratnam Suganthan:
Walk-forward empirical wavelet random vector functional link for time series forecasting. Appl. Soft Comput. 108: 107450 (2021) - [j169]Ali Mohammadi, Seyed Hamid Zahiri, Seyyed Mohammad Razavi, Ponnuthurai Nagaratnam Suganthan:
Design and modeling of adaptive IIR filtering systems using a weighted sum - variable length particle swarm optimization. Appl. Soft Comput. 109: 107529 (2021) - [j168]Wen Xin Cheng, Ponnuthurai N. Suganthan, Rakesh Katuwal:
Time series classification using diversified Ensemble Deep Random Vector Functional Link and Resnet features. Appl. Soft Comput. 112: 107826 (2021) - [j167]Ying-Ying Huang, Quan-Ke Pan, Jiang-Ping Huang, Ponnuthurai N. Suganthan, Liang Gao:
An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem. Comput. Ind. Eng. 152: 107021 (2021) - [j166]Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali, Ponnuthurai Nagaratnam Suganthan:
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review. Expert Syst. Appl. 167: 114161 (2021) - [j165]Boyang Qu, Qian Zhou, Yongsheng Zhu, Jing Liang, Caitong Yue, Yuechao Jiao, Li Yan, Ponnuthurai Nagaratnam Suganthan:
An improved brain storm optimisation algorithm for energy-efficient train operation problem. Int. J. Bio Inspired Comput. 17(4): 236-245 (2021) - [j164]Muhammad Tanveer, A. Sharma, Ponnuthurai N. Suganthan:
Least squares KNN-based weighted multiclass twin SVM. Neurocomputing 459: 454-464 (2021) - [j163]Vikas Palakonda, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
An ensemble approach with external archive for multi- and many-objective optimization with adaptive mating mechanism and two-level environmental selection. Inf. Sci. 555: 164-197 (2021) - [j162]Rami S. Al-Gharaibeh, Mostafa Z. Ali, Mohammad I. Daoud, Rami Alazrai, Heba Abdel-Nabi, Safaa Fawzey Hriez, Ponnuthurai N. Suganthan:
Real-parameter constrained optimization using enhanced quality-based cultural algorithm with novel influence and selection schemes. Inf. Sci. 576: 242-273 (2021) - [j161]Partha P. Biswas, Parul Arora, Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Bijaya K. Panigrahi:
Optimal placement and sizing of FACTS devices for optimal power flow in a wind power integrated electrical network. Neural Comput. Appl. 33(12): 6753-6774 (2021) - [j160]Qiushi Shi, Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Random vector functional link neural network based ensemble deep learning. Pattern Recognit. 117: 107978 (2021) - [j159]Wenbo Qiu, Jianghan Zhu, Guohua Wu, Mingfeng Fan, Ponnuthurai Nagaratnam Suganthan:
Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy. Swarm Evol. Comput. 60: 100776 (2021) - [j158]Essam H. Houssein, Ahmed G. Gad, Yaser Maher Wazery, Ponnuthurai Nagaratnam Suganthan:
Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends. Swarm Evol. Comput. 62: 100841 (2021) - [j157]Caitong Yue, Ponnuthurai N. Suganthan, Jing J. Liang, Boyang Qu, Kunjie Yu, Yongsheng Zhu, Li Yan:
Differential evolution using improved crowding distance for multimodal multiobjective optimization. Swarm Evol. Comput. 62: 100849 (2021) - [j156]Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. Swarm Evol. Comput. 64: 100888 (2021) - [j155]Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, Qizhang Luo, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results. Swarm Evol. Comput. 67: 100961 (2021) - [j154]Huangke Chen, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan, Lining Xing, Xiaomin Zhu:
An Adaptive Resource Allocation Strategy for Objective Space Partition-Based Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1507-1522 (2021) - [c188]Sotirios K. Goudos, Achilles D. Boursianis, Ali Wagdy Mohamed, Shaohua Wan, Panagiotis G. Sarigiannidis, George K. Karagiannidis, Ponnuthurai N. Suganthan:
Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study. DCOSS 2021: 272-279 - [c187]Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi:
Task-Agnostic Continual Learning Using Base-Child Classifiers. ICIP 2021: 794-798 - [c186]M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Co-Trained Random Vector Functional Link Network. IJCNN 2021: 1-8 - [c185]Ashwani Kumar Malik, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
A Novel Ensemble Method of RVFL For Classification Problem. IJCNN 2021: 1-8 - [i10]Sotirios K. Goudos, Achilles D. Boursianis, Ali Wagdy Mohamed, Shaohua Wan, Panagiotis G. Sarigiannidis, George K. Karagiannidis, Ponnuthurai N. Suganthan:
Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study. CoRR abs/2102.11275 (2021) - [i9]Mudasir Ahmad Ganaie, Minghui Hu, Mohammad Tanveer, Ponnuthurai N. Suganthan:
Ensemble deep learning: A review. CoRR abs/2104.02395 (2021) - [i8]Ruobin Gao, Liang Du, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen:
Random vector functional link neural network based ensemble deep learning for short-term load forecasting. CoRR abs/2107.14385 (2021) - [i7]Mudasir Ahmad Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan, Václav Snásel:
Oblique and rotation double random forest. CoRR abs/2111.02010 (2021) - [i6]Eneko Osaba, Javier Del Ser, Ponnuthurai N. Suganthan:
Evolutionary Multitask Optimization: Are we Moving in the Right Direction? CoRR abs/2111.14463 (2021) - [i5]Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan:
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation. CoRR abs/2112.01799 (2021) - 2020
- [j153]Filippo Maria Bianchi, Ponnuthurai Nagaratnam Suganthan:
Non-iterative Learning Approaches and Their Applications. Cogn. Comput. 12(2): 327-329 (2020) - [j152]M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Oblique Decision Tree Ensemble via Twin Bounded SVM. Expert Syst. Appl. 143 (2020) - [j151]Rakesh Katuwal, Ponnuthurai N. Suganthan, Le Zhang:
Heterogeneous oblique random forest. Pattern Recognit. 99 (2020) - [j150]Partha P. Biswas, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, Gehan A. J. Amaratunga:
Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms. Soft Comput. 24(4): 2999-3023 (2020) - [j149]Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results. Swarm Evol. Comput. 56: 100693 (2020) - [j148]Kai-Zhou Gao, Z. M. He, Y. Huang, Pei-Yong Duan, Ponnuthurai N. Suganthan:
A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing. Swarm Evol. Comput. 57: 100719 (2020) - [c184]Partha P. Biswas, Ponnuthurai N. Suganthan:
Large Initial Population and Neighborhood Search incorporated in LSHADE to solve CEC2020 Benchmark Problems. CEC 2020: 1-7 - [c183]Damla Kizilay, Mehmet Fatih Tasgetiren, Hande Öztop, Levent Kandiller, Ponnuthurai N. Suganthan:
A Differential Evolution Algorithm with Q-Learning for Solving Engineering Design Problems. CEC 2020: 1-8 - [c182]Xupeng Wen, Guohua Wu, Mingfeng Fan, Rui Wang, Ponnuthurai Nagaratnam Suganthan:
Voting-mechanism based ensemble constraint handling technique for real-world single-objective constrained optimization. CEC 2020: 1-8 - [c181]Caitong Yue, Jing J. Liang, Ponnuthurai N. Suganthan, Bo-Yang Qu, Kunjie Yu, S. Liu:
MMOGA for Solving Multimodal Multiobjective Optimization Problems with Local Pareto Sets. CEC 2020: 1-8 - [c180]Minghui Hu, Qiushi Shi, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Adaptive Ensemble Variants of Random Vector Functional Link Networks. ICONIP (5) 2020: 30-37 - [c179]Wen Xin Cheng, Ponnuthurai N. Suganthan, Rakesh Katuwal:
Oblique Random Forests on Residual Network Features. ICONIP (3) 2020: 306-317 - [c178]M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Minimum Variance Embedded Random Vector Functional Link Network. ICONIP (5) 2020: 412-419 - [c177]M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Regularized robust fuzzy least squares twin support vector machine for class imbalance learning. IJCNN 2020: 1-8 - [e11]Ales Zamuda, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Bijaya Ketan Panigrahi:
Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing - 7th International Conference, SEMCCO 2019, and 5th International Conference, FANCCO 2019, Maribor, Slovenia, July 10-12, 2019, Revised Selected Papers. Communications in Computer and Information Science 1092, Springer 2020, ISBN 978-3-030-37837-0 [contents] - [i4]Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
An Autonomous Path Planning Method for Unmanned Aerial Vehicle based on A Tangent Intersection and Target Guidance Strategy. CoRR abs/2006.04103 (2020)
2010 – 2019
- 2019
- [j147]Partha P. Biswas, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, Gehan A. J. Amaratunga:
Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach. Appl. Soft Comput. 75: 616-632 (2019) - [j146]Noor H. Awad, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
An efficient Differential Evolution algorithm for stochastic OPF based active-reactive power dispatch problem considering renewable generators. Appl. Soft Comput. 76: 445-458 (2019) - [j145]Muhammad Tanveer, Chandan Gautam, Ponnuthurai N. Suganthan:
Comprehensive evaluation of twin SVM based classifiers on UCI datasets. Appl. Soft Comput. 83 (2019) - [j144]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Stacked autoencoder based deep random vector functional link neural network for classification. Appl. Soft Comput. 85 (2019) - [j143]Li Yan, Boyang Qu, Yongsheng Zhu, Baihao Qiao, Ponnuthurai Nagaratnam Suganthan:
Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance. Sci. China Inf. Sci. 62(7): 70210:1-70210:3 (2019) - [j142]Muhammad Tanveer, A. Sharma, Ponnuthurai N. Suganthan:
General twin support vector machine with pinball loss function. Inf. Sci. 494: 311-327 (2019) - [j141]Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Fusion of multiple indicators with ensemble incremental learning techniques for stock price forecasting. J. Bank. Financial Technol. 3(1): 33-42 (2019) - [j140]Arindam Majumder, Dipak Laha, Ponnuthurai N. Suganthan:
Bacterial foraging optimization algorithm in robotic cells with sequence-dependent setup times. Knowl. Based Syst. 172: 104-122 (2019) - [j139]Boyang Qu, Jing J. Liang, Yongsheng Zhu, Ponnuthurai N. Suganthan:
Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method. Nat. Comput. 18(4): 695-703 (2019) - [j138]Guohua Wu, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Ensemble strategies for population-based optimization algorithms - A survey. Swarm Evol. Comput. 44: 695-711 (2019) - [j137]Hui Li, Kalyanmoy Deb, Qingfu Zhang, Ponnuthurai N. Suganthan, Lei Chen:
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. Swarm Evol. Comput. 46: 104-117 (2019) - [j136]Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
Bio-inspired computation: Where we stand and what's next. Swarm Evol. Comput. 48: 220-250 (2019) - [j135]Kaizhou Gao, Fajun Yang, MengChu Zhou, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan:
Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm. IEEE Trans. Cybern. 49(5): 1944-1955 (2019) - [j134]Trinadh Pamulapati, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
$I_{\rm SDE}$ + - An Indicator for Multi and Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(2): 346-352 (2019) - [j133]Kaizhou Gao, Yi Zhang, Yicheng Zhang, Rong Su, Ponnuthurai Nagaratnam Suganthan:
Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems. IEEE Trans. Intell. Transp. Syst. 20(7): 2618-2629 (2019) - [j132]Kaizhou Gao, Yicheng Zhang, Rong Su, Fajun Yang, Ponnuthurai Nagaratnam Suganthan, MengChu Zhou:
Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics. IEEE Trans. Intell. Transp. Syst. 20(9): 3272-3282 (2019) - [c176]Wen Xin Cheng, Ponnuthurai N. Suganthan, Xueheng Qiu, Rakesh Katuwal:
Classification of Stock Market Trends with Confidence-Based Selective Predictions. SEMCCO/FANCCO 2019: 93-104 - [c175]Nandar Lynn, Ponnuthurai Nagaratnam Suganthan, Narasimalu Srikanth, Trinadh Pamulapati, Rammohan Mallipeddi:
Unit commitment using time-ahead priority list and heterogeneous comprehensive learning PSO. SSCI 2019: 2279-2286 - [p1]Cemre Cubukcuoglu, Ayca Kirimtat, Berk Ekici, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan:
Evolutionary Computation for Theatre Hall Acoustics. Optimization in Industry 2019: 55-83 - [i3]Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Random Vector Functional Link Neural Network based Ensemble Deep Learning. CoRR abs/1907.00350 (2019) - [i2]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification. CoRR abs/1910.01858 (2019) - 2018
- [j131]Ponnuthurai N. Suganthan, Sushmita Mitra, Ivan Tyukin:
Preface special issue on non-iterative approaches in learning. Appl. Soft Comput. 70: 947-950 (2018) - [j130]Ponnuthurai Nagaratnam Suganthan:
Letter: On non-iterative learning algorithms with closed-form solution. Appl. Soft Comput. 70: 1078-1082 (2018) - [j129]Rakesh Katuwal, Ponnuthurai N. Suganthan, Le Zhang:
An ensemble of decision trees with random vector functional link networks for multi-class classification. Appl. Soft Comput. 70: 1146-1153 (2018) - [j128]Arindam Majumder, Dipak Laha, Ponnuthurai N. Suganthan:
A hybrid cuckoo search algorithm in parallel batch processing machines with unequal job ready times. Comput. Ind. Eng. 124: 65-76 (2018) - [j127]Partha P. Biswas, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, Gehan A. J. Amaratunga:
Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques. Eng. Appl. Artif. Intell. 68: 81-100 (2018) - [j126]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Ali M. Shatnawi, Robert G. Reynolds:
An improved class of real-coded Genetic Algorithms for numerical optimization✰. Neurocomputing 275: 155-166 (2018) - [j125]Guohua Wu, Xin Shen, Haifeng Li, Huangke Chen, Anping Lin, Ponnuthurai N. Suganthan:
Ensemble of differential evolution variants. Inf. Sci. 423: 172-186 (2018) - [j124]Mostafa Z. Ali, Noor H. Awad, Robert G. Reynolds, Ponnuthurai N. Suganthan:
A balanced fuzzy Cultural Algorithm with a modified Levy flight search for real parameter optimization. Inf. Sci. 447: 12-35 (2018) - [j123]Noor H. Awad, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization. Inf. Sci. 451-452: 326-347 (2018) - [j122]Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting. Knowl. Based Syst. 145: 182-196 (2018) - [j121]Bin Huang, Weihai Chen, Xingming Wu, Chun-Liang Lin, Ponnuthurai Nagaratnam Suganthan:
High-quality face image generated with conditional boundary equilibrium generative adversarial networks. Pattern Recognit. Lett. 111: 72-79 (2018) - [j120]Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan:
Real-parameter unconstrained optimization based on enhanced fitness-adaptive differential evolution algorithm with novel mutation. Soft Comput. 22(10): 3215-3235 (2018) - [j119]Bo-Yang Qu, Yongsheng Zhu, Y. C. Jiao, M. Y. Wu, Ponnuthurai N. Suganthan, Jing J. Liang:
A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems. Swarm Evol. Comput. 38: 1-11 (2018) - [j118]Nandar Lynn, Mostafa Z. Ali, Ponnuthurai Nagaratnam Suganthan:
Population topologies for particle swarm optimization and differential evolution. Swarm Evol. Comput. 39: 24-35 (2018) - [j117]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan:
Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction. Swarm Evol. Comput. 39: 141-156 (2018) - [c174]Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Distribution Network Reconfiguration Together with Distributed Generator and Shunt Capacitor Allocation for Loss Minimization. CEC 2018: 1-7 - [c173]Vikas Palakonda, Noor H. Awad, Rammohan Mallipeddi, Mostafa Z. Ali, Kalyana C. Veluvolu, Ponnuthurai N. Suganthan:
Differential Evolution with Stochastic Selection for Uncertain Environments: A Smart Grid Application. CEC 2018: 1-7 - [c172]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces. IJCNN 2018: 1-8 - [c171]Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Optimal Power Flow Solutions Using Algorithm Success History Based Adaptive Differential Evolution with Linear Population Reduction. SMC 2018: 249-254 - [c170]Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Ensemble Incremental Random Vector Functional Link Network for Short-term Crude Oil Price Forecasting. SSCI 2018: 1758-1763 - [c169]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Dropout and DropConnect based Ensemble of Random Vector Functional Link Neural Network. SSCI 2018: 1772-1778 - [i1]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces. CoRR abs/1802.01240 (2018) - 2017
- [j116]Xueheng Qiu, Ye Ren, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting. Appl. Soft Comput. 54: 246-255 (2017) - [j115]Nandar Lynn, Ponnuthurai Nagaratnam Suganthan:
Ensemble particle swarm optimizer. Appl. Soft Comput. 55: 533-548 (2017) - [j114]Partha P. Biswas, Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
A multiobjective approach for optimal placement and sizing of distributed generators and capacitors in distribution network. Appl. Soft Comput. 60: 268-280 (2017) - [j113]Guohua Wu, Witold Pedrycz, Ponnuthurai N. Suganthan, Haifeng Li:
Using variable reduction strategy to accelerate evolutionary optimization. Appl. Soft Comput. 61: 283-293 (2017) - [j112]Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Minimizing harmonic distortion in power system with optimal design of hybrid active power filter using differential evolution. Appl. Soft Comput. 61: 486-496 (2017) - [j111]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Benchmarking Ensemble Classifiers with Novel Co-Trained Kernal Ridge Regression and Random Vector Functional Link Ensembles [Research Frontier]. IEEE Comput. Intell. Mag. 12(4): 61-72 (2017) - [j110]Mehmet Fatih Tasgetiren, Damla Kizilay, Quan-Ke Pan, Ponnuthurai N. Suganthan:
Iterated greedy algorithms for the blocking flowshop scheduling problem with makespan criterion. Comput. Oper. Res. 77: 111-126 (2017) - [j109]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds:
CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization. Inf. Sci. 378: 215-241 (2017) - [j108]Xueheng Qiu, Le Zhang, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Oblique random forest ensemble via Least Square Estimation for time series forecasting. Inf. Sci. 420: 249-262 (2017) - [j107]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Robust visual tracking via co-trained Kernelized correlation filters. Pattern Recognit. 69: 82-93 (2017) - [j106]Shyam Sundar, Ponnuthurai N. Suganthan, Tay Jin Chua, Tian Xiang Cai, Chong Chin Soon:
A hybrid artificial bee colony algorithm for the job-shop scheduling problem with no-wait constraint. Soft Comput. 21(5): 1193-1202 (2017) - [j105]Anguluri Rajasekhar, Nandar Lynn, Swagatam Das, Ponnuthurai N. Suganthan:
Computing with the collective intelligence of honey bees - A survey. Swarm Evol. Comput. 32: 25-48 (2017) - [j104]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai Nagaratnam Suganthan, Robert G. Reynolds:
An Adaptive Multipopulation Differential Evolution With Dynamic Population Reduction. IEEE Trans. Cybern. 47(9): 2768-2779 (2017) - [j103]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Visual Tracking With Convolutional Random Vector Functional Link Network. IEEE Trans. Cybern. 47(10): 3243-3253 (2017) - [c168]Partha P. Biswas, Noor H. Awad, Ponnuthurai N. Suganthan, Mostafa Z. Ali, Gehan A. J. Amaratunga:
Minimizing THD of multilevel inverters with optimal values of DC voltages and switching angles using LSHADE-EpSin algorithm. CEC 2017: 77-82 - [c167]Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Optimal placement of wind turbines in a windfarm using L-SHADE algorithm. CEC 2017: 83-88 - [c166]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan:
Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems. CEC 2017: 372-379 - [c165]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds, Ali M. Shatnawi:
A novel differential crossover strategy based on covariance matrix learning with Euclidean neighborhood for solving real-world problems. CEC 2017: 380-386 - [c164]Xueheng Qiu, Huilin Zhu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Stock Price Forecasting with Empirical Mode Decomposition Based Ensemble \nu -Support Vector Regression Model. CICBA (1) 2017: 22-34 - [c163]Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja, Pierre Moulin:
Robust Visual Tracking Using Oblique Random Forests. CVPR 2017: 5825-5834 - [c162]Katuwal Rakesh, Ponnuthurai N. Suganthan:
An Ensemble of Kernel Ridge Regression for Multi-class Classification. ICCS 2017: 375-383 - [c161]Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Short-term Electricity Price Forecasting with Empirical Mode Decomposition based Ensemble Kernel Machines. ICCS 2017: 1308-1317 - [c160]Partha P. Biswas, Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Optimal reconfiguration and distributed generator allocation in distribution network using an advanced adaptive differential evolution. SSCI 2017: 1-7 - [c159]Wen Xin Cheng, Rakesh Katuwal, Ponnuthurai N. Suganthan, Xueheng Qiu:
A heterogeneous ensemble of trees. SSCI 2017: 1-6 - [c158]Xueheng Qiu, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques. SSCI 2017: 1-8 - 2016
- [j102]Ye Ren, Le Zhang, Ponnuthurai N. Suganthan:
Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]. IEEE Comput. Intell. Mag. 11(1): 41-53 (2016) - [j101]Kai-Zhou Gao, Ponnuthurai Nagaratnam Suganthan, Quan-Ke Pan, Tay Jin Chua, Chin-Soon Chong, Tian Xiang Cai:
An improved artificial bee colony algorithm for flexible job-shop scheduling problem with fuzzy processing time. Expert Syst. Appl. 65: 52-67 (2016) - [j100]Guohua Wu, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Rui Wang, Huangke Chen:
Differential evolution with multi-population based ensemble of mutation strategies. Inf. Sci. 329: 329-345 (2016) - [j99]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Rehab M. Duwairi, Robert G. Reynolds:
A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization. Inf. Sci. 334-335: 219-249 (2016) - [j98]Bo-Yang Qu, Jing J. Liang, Yongsheng Zhu, Z. Y. Wang, Ponnuthurai N. Suganthan:
Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm. Inf. Sci. 351: 48-66 (2016) - [j97]Le Zhang, Ponnuthurai N. Suganthan:
A survey of randomized algorithms for training neural networks. Inf. Sci. 364-365: 146-155 (2016) - [j96]Ye Ren, Ponnuthurai N. Suganthan, Narasimalu Srikanth, Gehan A. J. Amaratunga:
Random vector functional link network for short-term electricity load demand forecasting. Inf. Sci. 367-368: 1078-1093 (2016) - [j95]Le Zhang, Ponnuthurai N. Suganthan:
A comprehensive evaluation of random vector functional link networks. Inf. Sci. 367-368: 1094-1105 (2016) - [j94]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Edward Jaser:
A decremental stochastic fractal differential evolution for global numerical optimization. Inf. Sci. 372: 470-491 (2016) - [j93]Kai-Zhou Gao, Ponnuthurai N. Suganthan, Quan-Ke Pan, Tay Jin Chua, Tian Xiang Cai, Chin-Soon Chong:
Discrete harmony search algorithm for flexible job shop scheduling problem with multiple objectives. J. Intell. Manuf. 27(2): 363-374 (2016) - [j92]Kai-Zhou Gao, Ponnuthurai Nagaratnam Suganthan, Quan-Ke Pan, Mehmet Fatih Tasgetiren, Ali Sadollah:
Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion. Knowl. Based Syst. 109: 1-16 (2016) - [j91]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Robert G. Reynolds:
A modified cultural algorithm with a balanced performance for the differential evolution frameworks. Knowl. Based Syst. 111: 73-86 (2016) - [j90]Bo-Yang Qu, Jing J. Liang, Z. Y. Wang, Qin Chen, Ponnuthurai N. Suganthan:
Novel benchmark functions for continuous multimodal optimization with comparative results. Swarm Evol. Comput. 26: 23-34 (2016) - [j89]Swagatam Das, Sankha Subhra Mullick, Ponnuthurai N. Suganthan:
Recent advances in differential evolution - An updated survey. Swarm Evol. Comput. 27: 1-30 (2016) - [j88]Sheldon Hui, Ponnuthurai N. Suganthan:
Ensemble and Arithmetic Recombination-Based Speciation Differential Evolution for Multimodal Optimization. IEEE Trans. Cybern. 46(1): 64-74 (2016) - [j87]Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds, Amer F. Al-Badarneh:
Leveraged Neighborhood Restructuring in Cultural Algorithms for Solving Real-World Numerical Optimization Problems. IEEE Trans. Evol. Comput. 20(2): 218-231 (2016) - [j86]Ye Ren, Ponnuthurai Nagaratnam Suganthan, Narasimalu Srikanth:
A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1793-1798 (2016) - [c157]Cemre Cubukcuoglu, Ayca Kirimtat, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan:
Multi-objective harmony search algorithm for layout design in theatre hall acoustics. CEC 2016: 2280-2287 - [c156]Mert Paldrak, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan:
An ensemble of differential evolution algorithms with variable neighborhood search for constrained function optimization. CEC 2016: 2610-2617 - [c155]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds:
An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems. CEC 2016: 2958-2965 - [c154]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Edward Jaser:
Differential evolution with stochastic fractal search algorithm for global numerical optimization. CEC 2016: 3154-3161 - [c153]Ayca Kirimtat, Basak Kundakci Koyunbaba, Ioannis Chatzikonstantinou, I. Sevil Sariyildiz, Ponnuthurai Nagaratnam Suganthan:
Multi-objective optimization for shading devices in buildings by using evolutionary algorithms. CEC 2016: 3917-3924 - [c152]Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Electricity load demand time series forecasting with Empirical Mode Decomposition based Random Vector Functional Link network. SMC 2016: 1394-1399 - [c151]Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Optimization of Wind Turbine Rotor Diameters and Hub Heights in a Windfarm Using Differential Evolution Algorithm. SocProS (2) 2016: 131-141 - [e10]Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy:
Swarm, Evolutionary, and Memetic Computing - 6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9873, Springer 2016, ISBN 978-3-319-48958-2 [contents] - 2015
- [j85]Iztok Fister Jr., Karin Ljubic, Ponnuthurai Nagaratnam Suganthan, Matjaz Perc, Iztok Fister:
Computational intelligence in sports: Challenges and opportunities within a new research domain. Appl. Math. Comput. 262: 178-186 (2015) - [j84]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan:
Multi-population differential evolution with balanced ensemble of mutation strategies for large-scale global optimization. Appl. Soft Comput. 33: 304-327 (2015) - [j83]Guohua Wu, Witold Pedrycz, Ponnuthurai N. Suganthan, Rammohan Mallipeddi:
A variable reduction strategy for evolutionary algorithms handling equality constraints. Appl. Soft Comput. 37: 774-786 (2015) - [j82]Kai-Zhou Gao, Ponnuthurai Nagaratnam Suganthan, Mehmet Fatih Tasgetiren, Quan-Ke Pan, Qiang Qiang Sun:
Effective ensembles of heuristics for scheduling flexible job shop problem with new job insertion. Comput. Ind. Eng. 90: 107-117 (2015) - [j81]Dipak Laha, Ren Ye, Ponnuthurai N. Suganthan:
Modeling of steelmaking process with effective machine learning techniques. Expert Syst. Appl. 42(10): 4687-4696 (2015) - [j80]Kai-Zhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua, Chin-Soon Chong, Tian Xiang Cai, Quan-Ke Pan:
A two-stage artificial bee colony algorithm scheduling flexible job-shop scheduling problem with new job insertion. Expert Syst. Appl. 42(21): 7652-7663 (2015) - [j79]Xiaodong Li, Ke Tang, Ponnuthurai N. Suganthan, Zhenyu Yang:
Editorial for the special issue of Information Sciences Journal (ISJ) on "Nature-inspired algorithms for large scale global optimization". Inf. Sci. 316: 437-439 (2015) - [j78]Nandar Lynn, Ponnuthurai Nagaratnam Suganthan:
Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation. Swarm Evol. Comput. 24: 11-24 (2015) - [j77]Le Zhang, Ponnuthurai N. Suganthan:
Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine. IEEE Trans. Cybern. 45(10): 2165-2176 (2015) - [c150]Mostafa Z. Ali, Noor H. Awad, Rehab Duwairi, Jafar Albadarneh, Robert G. Reynolds, Ponnuthurai N. Suganthan:
Cluster-Based Differential Evolution with Heterogeneous Influence for numerical optimization. CEC 2015: 393-400 - [c149]Nandar Lynn, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Self-adaptive Ensemble Differential Evolution with Sampled Parameter Values for Unit Commitment. SEMCCO 2015: 1-16 - [c148]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Visual Tracking with Convolutional Neural Network. SMC 2015: 2072-2077 - [c147]Nandar Lynn, Ponnuthurai Nagaratnam Suganthan:
Modified Artificial Bee Colony Algorithm with Comprehensive Learning Re-initialization Strategy. SMC 2015: 2129-2134 - [c146]Ye Ren, Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network. SSCI 2015: 687-694 - [e9]Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Swarm, Evolutionary, and Memetic Computing - 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8947, Springer 2015, ISBN 978-3-319-20293-8 [contents] - 2014
- [j76]Ling Wang, Chen Fang, Ponnuthurai Nagaratnam Suganthan, Min Liu:
Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm. Expert Syst. Appl. 41(5): 2496-2513 (2014) - [j75]Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Unit commitment - a survey and comparison of conventional and nature inspired algorithms. Int. J. Bio Inspired Comput. 6(2): 71-90 (2014) - [j74]Gajaruban Kandavanam, Rammohan Mallipeddi, Dmitri Botvich, Sasitharan Balasubramaniam, Ponnuthurai N. Suganthan:
Achieving high robustness and performance in QoS-aware route planning for IPTV networks. Inf. Sci. 269: 217-237 (2014) - [j73]Joaquín Derrac, Salvador García, Sheldon Hui, Ponnuthurai Nagaratnam Suganthan, Francisco Herrera:
Analyzing convergence performance of evolutionary algorithms: A statistical approach. Inf. Sci. 289: 41-58 (2014) - [j72]Kai-Zhou Gao, Ponnuthurai N. Suganthan, Quan-Ke Pan, Tay Jin Chua, Tian Xiang Cai, Chin-Soon Chong:
Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling. Inf. Sci. 289: 76-90 (2014) - [j71]Junqing Li, Quan-Ke Pan, Kun Mao, Ponnuthurai N. Suganthan:
Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm. Knowl. Based Syst. 72: 28-36 (2014) - [j70]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Random Forests with ensemble of feature spaces. Pattern Recognit. 47(10): 3429-3437 (2014) - [c145]Sheldon Hui, Ponnuthurai Nagaratnam Suganthan:
Niching-based Self-adaptive Ensemble DE with MMTS for solving dynamic optimization problems. IEEE Congress on Evolutionary Computation 2014: 1536-1541 - [c144]Rammohan Mallipeddi, Guohua Wu, Minho Lee, Ponnuthurai Nagaratnam Suganthan:
Gaussian adaptation based parameter adaptation for differential evolution. IEEE Congress on Evolutionary Computation 2014: 1760-1767 - [c143]Mostafa Z. Ali, Abdulmalik Morghem, Jafar Albadarneh, Rami S. Al-Gharaibeh, Ponnuthurai N. Suganthan, Robert G. Reynolds:
Cultural Algorithms applied to the evolution of robotic soccer team tactics: A novel perspective. IEEE Congress on Evolutionary Computation 2014: 2180-2187 - [c142]Subhodip Biswas, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Carlos A. Coello Coello:
Evolutionary multiobjective optimization in dynamic environments: A set of novel benchmark functions. IEEE Congress on Evolutionary Computation 2014: 3192-3199 - [c141]Xueheng Qiu, Le Zhang, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Ensemble deep learning for regression and time series forecasting. CIEL 2014: 21-26 - [c140]Ye Ren, Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan:
Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting. CIEL 2014: 35-40 - [c139]Giovanni Iacca, Ferrante Neri, Fabio Caraffini, Ponnuthurai Nagaratnam Suganthan:
A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms. EvoApplications 2014: 615-626 - [c138]Le Zhang, Ye Ren, Ponnuthurai N. Suganthan:
Towards generating random forests via extremely randomized trees. IJCNN 2014: 2645-2652 - [c137]Nandar Lynn, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Differential Evolution with Two Subpopulations. SEMCCO 2014: 1-13 - [c136]Gautam Mahapatra, Soumya Banerjee, Ponnuthurai Nagaratnam Suganthan:
Bilevel Optimization Using Bacteria Foraging Optimization Algorithm. SEMCCO 2014: 351-362 - 2013
- [j69]Ponnuthurai N. Suganthan:
Conference Report for 2013 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013) [Conference Reports]. IEEE Comput. Intell. Mag. 8(4): 6-8 (2013) - [j68]Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai N. Suganthan, Ozge Buyukdagli:
A variable iterated greedy algorithm with differential evolution for the no-idle permutation flowshop scheduling problem. Comput. Oper. Res. 40(7): 1729-1743 (2013) - [j67]Soumyadip Sengupta, Swagatam Das, Md. Nasir, Ponnuthurai N. Suganthan:
Risk minimization in biometric sensor networks: an evolutionary multi-objective optimization approach. Soft Comput. 17(1): 133-144 (2013) - [j66]Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan:
Empirical investigations into the exponential crossover of differential evolutions. Swarm Evol. Comput. 9: 27-36 (2013) - [j65]Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization. IEEE Trans. Evol. Comput. 17(3): 387-402 (2013) - [c135]Rohan Mukherjee, Shantanab Debchoudhury, Rupam Kundu, Swagatam Das, Ponnuthurai N. Suganthan:
Adaptive Differential Evolution with Locality based Crossover for Dynamic Optimization. IEEE Congress on Evolutionary Computation 2013: 63-70 - [c134]Rupam Kundu, Rohan Mukherjee, Shantanab Debchoudhury, Swagatam Das, Ponnuthurai N. Suganthan, Thanos Vasilakos:
Improved CMA-ES with Memory based Directed Individual Generation for Real Parameter Optimization. IEEE Congress on Evolutionary Computation 2013: 748-755 - [c133]Ren Ye, Le Zhang, Ponnuthurai N. Suganthan:
K-nearest neighbor based bagging SVM pruning. CIEL 2013: 25-30 - [c132]Le Zhang, Ye Ren, Ponnuthurai N. Suganthan:
Instance based random forest with rotated feature space. CIEL 2013: 31-35 - [c131]Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan, Ikbal Ece Dizbay:
Metaheuristic algorithms for the quadratic assignment problem. CIPLS 2013: 131-137 - [c130]Kai-Zhou Gao, Ponnuthurai N. Suganthan, Tay Jin Chua:
An enhanced migrating birds optimization algorithm for no-wait flow shop scheduling problem. CISched 2013: 9-13 - [c129]Ren Ye, Ponnuthurai N. Suganthan, Narasimalu Srikanth, Soham Sarkar:
A hybrid ARIMA-DENFIS method for wind speed forecasting. FUZZ-IEEE 2013: 1-6 - [c128]Souvik Kundu, Subhodip Biswas, Swagatam Das, Ponnuthurai N. Suganthan:
Crowding-based local differential evolution with speciation-based memory archive for dynamic multimodal optimization. GECCO 2013: 33-40 - [c127]Ponnuthurai N. Suganthan:
Differential evolution: recent advances. GECCO (Companion) 2013: 845-876 - [c126]Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua, Tian Xiang Cai, Chin-Soon Chong:
Hybrid discrete harmony search algorithm for scheduling re-processing problem in remanufacturing. GECCO 2013: 1261-1268 - [c125]Shyam Sundar, Ponnuthurai N. Suganthan, Tay Jin Chua:
A Swarm Intelligence Approach to Flexible Job-Shop Scheduling Problem with No-Wait Constraint in Remanufacturing. ICAISC (2) 2013: 593-602 - [c124]Subhodip Biswas, Souvik Kundu, Digbalay Bose, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Synchronizing Differential Evolution with a modified affinity-based mutation framework. SDE 2013: 61-68 - [c123]Sheldon Hui, Ponnuthurai Nagaratnam Suganthan:
Ensemble crowding differential evolution with neighborhood mutation for multimodal optimization. SDE 2013: 135-142 - [c122]Joaquín Derrac, Salvador García, Sheldon Hui, Francisco Herrera, Ponnuthurai Nagaratnam Suganthan:
Statistical analysis of convergence performance throughout the evolutionary search: A case study with SaDE-MMTS and Sa-EPSDE-MMTS. SDE 2013: 151-156 - [c121]Mehmet Fatih Tasgetiren, Ozge Buyukdagli, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan:
A General Variable Neighborhood Search Algorithm for the No-Idle Permutation Flowshop Scheduling Problem. SEMCCO (1) 2013: 24-34 - [c120]Shantanab Debchoudhury, Debabrota Basu, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan:
Load Information Based Priority Dependant Heuristic for Manpower Scheduling Problem in Remanufacturing. SEMCCO (1) 2013: 59-67 - [c119]Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Improved Adaptive Differential Evolution Algorithm with External Archive. SEMCCO (1) 2013: 170-178 - [c118]Debabrota Basu, Shantanab Debchoudhury, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan:
A Novel Improved Discrete ABC Algorithm for Manpower Scheduling Problem in Remanufacturing. SEMCCO (1) 2013: 738-749 - [c117]Nandar Lynn, Ponnuthurai N. Suganthan:
Comprehensive learning particle swarm optimizer with guidance vector selection. SIS 2013: 80-84 - [c116]Subhodip Biswas, Souvik Kundu, Digbalay Bose, Swagatam Das, Ponnuthurai N. Suganthan, Bijaya K. Panigrahi:
Migrating forager population in a multi-population Artificial Bee Colony algorithm with modified perturbation schemes. SIS 2013: 248-255 - [e8]Janez Brest, Swagatam Das, Ferrante Neri, Ponnuthurai N. Suganthan:
2013 IEEE Symposium on Differential Evolution, SDE 2013, Singapore, Singapore, April 16-19, 2013. IEEE 2013, ISBN 978-1-4673-5873-6 [contents] - [e7]Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Subhransu Sekhar Dash:
Swarm, Evolutionary, and Memetic Computing - 4th International Conference, SEMCCO 2013, Chennai, India, December 19-21, 2013, Proceedings, Part I. Lecture Notes in Computer Science 8297, Springer 2013, ISBN 978-3-319-03752-3 [contents] - [e6]Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Subhransu Sekhar Dash:
Swarm, Evolutionary, and Memetic Computing - 4th International Conference, SEMCCO 2013, Chennai, India, December 19-21, 2013, Proceedings, Part II. Lecture Notes in Computer Science 8298, Springer 2013, ISBN 978-3-319-03755-4 [contents] - 2012
- [j64]Saurav Ghosh, Swagatam Das, Subhrajit Roy, Sk. Minhazul Islam, Ponnuthurai N. Suganthan:
A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization. Inf. Sci. 182(1): 199-219 (2012) - [j63]Bo-Yang Qu, Jing J. Liang, Ponnuthurai N. Suganthan:
Niching particle swarm optimization with local search for multi-modal optimization. Inf. Sci. 197: 131-143 (2012) - [j62]Md. Nasir, Swagatam Das, Dipankar Maity, Soumyadip Sengupta, Udit Halder, Ponnuthurai N. Suganthan:
A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization. Inf. Sci. 209: 16-36 (2012) - [j61]Rammohan Mallipeddi, S. Jeyadevi, Ponnuthurai N. Suganthan, S. Baskar:
Efficient constraint handling for optimal reactive power dispatch problems. Swarm Evol. Comput. 5: 28-36 (2012) - [j60]Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Qingfu Zhang:
Decomposition-Based Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes. IEEE Trans. Evol. Comput. 16(3): 442-446 (2012) - [j59]Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan, Jane-Jing Liang:
Differential Evolution With Neighborhood Mutation for Multimodal Optimization. IEEE Trans. Evol. Comput. 16(5): 601-614 (2012) - [j58]Sk. Minhazul Islam, Swagatam Das, Saurav Ghosh, Subhrajit Roy, Ponnuthurai Nagaratnam Suganthan:
An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization. IEEE Trans. Syst. Man Cybern. Part B 42(2): 482-500 (2012) - [c115]Kaizhou Gao, Ponnuthurai N. Suganthan, Zhenqiang Bao:
A composite heuristic for the no-wait flow shop scheduling. IEEE Congress on Evolutionary Computation 2012: 1-5 - [c114]Sheldon Hui, Ponnuthurai Nagaratnam Suganthan:
Ensemble Differential Evolution with dynamic subpopulations and adaptive clearing for solving dynamic optimization problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c113]Jing J. Liang, Bo-Yang Qu, Ponnuthurai N. Suganthan, Ben Niu:
Dynamic Multi-Swarm Particle Swarm Optimization for Multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c112]Md. Nasir, Soumyadip Sengupta, Swagatam Das, Ponnuthurai N. Suganthan:
An improved multi-objective optimization algorithm based on fuzzy dominance for risk minimization in biometric sensor network. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c111]Anguluri Rajasekhar, Swagatam Das, Ponnuthurai N. Suganthan:
Design of Fractional Order Controller for a servohydraulic positioning system with micro Artificial Bee Colony algorithm. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c110]Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan:
Comprehensive comparison of convergence performance of optimization algorithms based on nonparametric statistical tests. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c109]Ren Ye, Ponnuthurai N. Suganthan:
Empirical comparison of bagging-based ensemble classifiers. FUSION 2012: 917-924 - [c108]Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai N. Suganthan, Ozge Buyukdagli:
A Variable Iterated Greedy Algorithm with Differential Evolution for Solving No-Idle Flowshops. ICAISC (SIDE-EC) 2012: 128-135 - [c107]Junqing Li, Quan-Ke Pan, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren:
Solving Fuzzy Job-Shop Scheduling Problem by a Hybrid PSO Algorithm. ICAISC (SIDE-EC) 2012: 275-282 - [c106]Ren Ye, Ponnuthurai N. Suganthan:
A kernel-ensemble bagging support vector machine. ISDA 2012: 847-852 - [c105]Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua:
Pareto-based discrete harmony search algorithm for flexible job shop scheduling. ISDA 2012: 953-956 - [c104]Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua:
Discrete Harmony Search Algorithm for Dynamic FJSSP in Remanufacturing Engineering. SEMCCO 2012: 9-16 - [c103]Srinjoy Ganguly, Arkabandhu Chowdhury, Swahum Mukherjee, Ponnuthurai N. Suganthan, Swagatam Das, Tay Jin Chua:
A Hybrid Discrete Differential Evolution Algorithm for Economic Lot Scheduling Problem with Time Variant Lot Sizing. SOCO 2012: 1-12 - [c102]Bo-Yang Qu, Jing J. Liang, Ponnuthurai Nagaratnam Suganthan, Tiejun Chen:
Ensemble of Clearing Differential Evolution for Multi-modal Optimization. ICSI (1) 2012: 350-357 - [c101]Ponnuthurai Nagaratnam Suganthan:
Differential Evolution Algorithm: Recent Advances. TPNC 2012: 30-46 - [e5]Lam Thu Bui, Yew-Soon Ong, Nguyen Xuan Hoai, Hisao Ishibuchi, Ponnuthurai Nagaratnam Suganthan:
Simulated Evolution and Learning - 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings. Lecture Notes in Computer Science 7673, Springer 2012, ISBN 978-3-642-34858-7 [contents] - [e4]Bijaya K. Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Pradipta Kumar Nanda:
Swarm, Evolutionary, and Memetic Computing - Third International Conference, SEMCCO 2012, Bhubaneswar, India, December 20-22, 2012. Proceedings. Lecture Notes in Computer Science 7677, Springer 2012, ISBN 978-3-642-35379-6 [contents] - 2011
- [j57]Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Quan-Ke Pan, Mehmet Fatih Tasgetiren:
Differential evolution algorithm with ensemble of parameters and mutation strategies. Appl. Soft Comput. 11(2): 1679-1696 (2011) - [j56]Quan-Ke Pan, Ponnuthurai N. Suganthan, Ling Wang, Liang Gao, Rammohan Mallipeddi:
A differential evolution algorithm with self-adapting strategy and control parameters. Comput. Oper. Res. 38(1): 394-408 (2011) - [j55]S. Sivananaithaperumal, S. Miruna Joe Amali, S. Baskar, Ponnuthurai N. Suganthan:
Constrained self-adaptive differential evolution based design of robust optimal fixed structure controller. Eng. Appl. Artif. Intell. 24(6): 1084-1093 (2011) - [j54]Quan-Ke Pan, Ponnuthurai N. Suganthan, Jing J. Liang, Mehmet Fatih Tasgetiren:
A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem. Expert Syst. Appl. 38(4): 3252-3259 (2011) - [j53]Shi-Zheng Zhao, Ponnuthurai N. Suganthan, Quan-Ke Pan, Mehmet Fatih Tasgetiren:
Dynamic multi-swarm particle swarm optimizer with harmony search. Expert Syst. Appl. 38(4): 3735-3742 (2011) - [j52]Quan-Ke Pan, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Tay Jin Chua:
A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem. Inf. Sci. 181(12): 2455-2468 (2011) - [j51]Shi-Zheng Zhao, M. Willjuice Iruthayarajan, S. Baskar, Ponnuthurai N. Suganthan:
Multi-objective robust PID controller tuning using two lbests multi-objective particle swarm optimization. Inf. Sci. 181(16): 3323-3335 (2011) - [j50]Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai N. Suganthan, Angela Hsiang-Ling Chen:
A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops. Inf. Sci. 181(16): 3459-3475 (2011) - [j49]Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Self-adaptive differential evolution with multi-trajectory search for large-scale optimization. Soft Comput. 15(11): 2175-2185 (2011) - [j48]Aimin Zhou, Bo-Yang Qu, Hui Li, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Qingfu Zhang:
Multiobjective evolutionary algorithms: A survey of the state of the art. Swarm Evol. Comput. 1(1): 32-49 (2011) - [j47]Swagatam Das, Sayan Maity, Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan:
Real-parameter evolutionary multimodal optimization - A survey of the state-of-the-art. Swarm Evol. Comput. 1(2): 71-88 (2011) - [j46]Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Carlos Artemio Coello Coello:
Guest Editorial Special Issue on Differential Evolution. IEEE Trans. Evol. Comput. 15(1): 1-3 (2011) - [j45]Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Differential Evolution: A Survey of the State-of-the-Art. IEEE Trans. Evol. Comput. 15(1): 4-31 (2011) - [c100]Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Ensemble differential evolution algorithm for CEC2011 problems. IEEE Congress on Evolutionary Computation 2011: 1557-1564 - [c99]Ankush Mandal, Aveek Kumar Das, Prithwijit Mukherjee, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Modified differential evolution with local search algorithm for real world optimization. IEEE Congress on Evolutionary Computation 2011: 1565-1572 - [c98]Rammohan Mallipeddi, Giovanni Iacca, Ponnuthurai Nagaratnam Suganthan, Ferrante Neri, Ernesto Mininno:
Ensemble strategies in Compact Differential Evolution. IEEE Congress on Evolutionary Computation 2011: 1972-1977 - [c97]Jing J. Liang, Bo-Yang Qu, Song Tao Ma, Ponnuthurai Nagaratnam Suganthan:
Memetic Fitness Euclidean-Distance Particle Swarm Optimization for Multi-modal Optimization. ICIC (3) 2011: 378-385 - [c96]Giovanni Iacca, Rammohan Mallipeddi, Ernesto Mininno, Ferrante Neri, Ponnuthurai Nagaratnam Suganthan:
Super-fit and population size reduction in compact Differential Evolution. Memetic Computing 2011: 21-29 - [c95]Soumen Sardar, Sayan Maity, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Constrained real parameter optimization with a gradient repair based Differential Evolution algorithm. SDE 2011: 1-8 - [c94]Giovanni Iacca, Rammohan Mallipeddi, Ernesto Mininno, Ferrante Neri, Ponnuthurai Nagaratnam Suganthan:
Global supervision for compact Differential Evolution. SDE 2011: 25-32 - [c93]Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan:
Multi-objective differential evolution based on the summation of normalized objectives and improved selection method. SDE 2011: 88-95 - [c92]Mehmet Fatih Tasgetiren, Önder Bulut, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan:
A differential evolution algorithm for the median cycle problem. SDE 2011: 157-163 - [c91]Saurav Ghosh, Subhrajit Roy, Sk. Minhazul Islam, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
A differential covariance matrix adaptation evolutionary algorithm for global optimization. SDE 2011: 193-200 - [c90]Sk. Minhazul Islam, Saurav Ghosh, Subhrajit Roy, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Synthesis and Design of Thinned Planar Concentric Circular Antenna Array - A Multi-objective Approach. SEMCCO (2) 2011: 182-190 - [c89]Saurav Ghosh, Subhrajit Roy, Sk. Minhazul Islam, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Non-uniform Circular-Shaped Antenna Array Design and Synthesis - A Multi-Objective Approach. SEMCCO (2) 2011: 223-230 - [c88]Subhrajit Roy, Sk. Minhazul Islam, Saurav Ghosh, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Design of Two Channel Quadrature Mirror Filter Bank: A Multi-Objective Approach. SEMCCO (2) 2011: 239-247 - [e3]Bijaya K. Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy:
Swarm, Evolutionary, and Memetic Computing - Second International Conference, SEMCCO 2011, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011, Proceedings, Part I. Lecture Notes in Computer Science 7076, Springer 2011, ISBN 978-3-642-27171-7 [contents] - [e2]Bijaya K. Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy:
Swarm, Evolutionary, and Memetic Computing - Second International Conference, SEMCCO 2011, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011, Proceedings, Part II. Lecture Notes in Computer Science 7077, Springer 2011, ISBN 978-3-642-27241-7 [contents] - 2010
- [j44]Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan:
An ensemble of discrete differential evolution algorithms for solving the generalized traveling salesman problem. Appl. Math. Comput. 215(9): 3356-3368 (2010) - [j43]Quan-Ke Pan, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren, Jing J. Liang:
A self-adaptive global best harmony search algorithm for continuous optimization problems. Appl. Math. Comput. 216(3): 830-848 (2010) - [j42]Ling Wang, Quan-Ke Pan, Ponnuthurai N. Suganthan, Wenhong Wang, Ya-Min Wang:
A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems. Comput. Oper. Res. 37(3): 509-520 (2010) - [j41]Rammohan Mallipeddi, S. Mallipeddi, Ponnuthurai N. Suganthan:
Ensemble strategies with adaptive evolutionary programming. Inf. Sci. 180(9): 1571-1581 (2010) - [j40]E. L. Yu, Ponnuthurai N. Suganthan:
Ensemble of niching algorithms. Inf. Sci. 180(15): 2815-2833 (2010) - [j39]Bo-Yang Qu, Ponnuthurai N. Suganthan:
Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection. Inf. Sci. 180(17): 3170-3181 (2010) - [j38]Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan:
Multi-objective differential evolution with diversity enhancement. J. Zhejiang Univ. Sci. C 11(7): 538-543 (2010) - [j37]Ashish Anand, Ganesan Pugalenthi, Gary B. Fogel, Ponnuthurai N. Suganthan:
Identification and analysis of transcription factor family-specific features derived from DNA and protein information. Pattern Recognit. Lett. 31(14): 2097-2102 (2010) - [j36]Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
Ensemble of Constraint Handling Techniques. IEEE Trans. Evol. Comput. 14(4): 561-579 (2010) - [c87]Ashish Anand, Nikhil R. Pal, Ponnuthurai Nagaratnam Suganthan:
Integration of functional information of genes in fuzzy clustering of short time series gene expression data. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c86]Gajaruban Kandavanam, Dmitri Botvich, Sasitharan Balasubramaniam, Ponnuthurai Nagaratnam Suganthan:
Achieving high robustness and performance in performing QoS-aware route planning for IPTV networks. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c85]Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c84]Quan-Ke Pan, Mehmet Fatih Tasgetiren, Ponnuthurai Nagaratnam Suganthan, Yun-Chia Liang:
Solving lot-streaming flow shop scheduling problems using a discrete harmony search algorithm. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c83]Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan:
Constrained multi-objective optimization algorithm with diversity enhanced differential evolution. IEEE Congress on Evolutionary Computation 2010: 1-5 - [c82]Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan:
Novel multimodal problems and differential evolution with ensemble of restricted tournament selection. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c81]Gourab Ghosh Roy, Prithwish Chakraborty, Shi-Zheng Zhao, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Artificial foraging weeds for global numerical optimization over continuous spaces. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c80]Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan, Angela Hsiang-Ling Chen:
A discrete artificial bee colony algorithm for the permutation flow shop scheduling problem with total flowtime criterion. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c79]Mehmet Fatih Tasgetiren, Ponnuthurai Nagaratnam Suganthan, Quan-Ke Pan, Rammohan Mallipeddi, Sedat Sarman:
An ensemble of differential evolution algorithms for constrained function optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c78]Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Dynamic multi-swarm particle swarm optimizer with sub-regional harmony search. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c77]Qiming Li, Alvin Ong, Ponnuthurai N. Suganthan, Vrizlynn L. L. Thing:
A Novel Support Vector Machine Approach to High Entropy Data Fragment Classification. SAISMC 2010: 236-247 - [c76]Bo-Yang Qu, Ponnuthurai N. Suganthan, V. Ravikumar Pandi, Bijaya K. Panigrahi:
Multi objective evolutionary programming to solve environmental economic dispatch problem. ICARCV 2010: 673-1679 - [c75]Shi-Zheng Zhao, Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan, M. Willjuice Iruthayarajan, S. Baskar:
Multi-objective robust PID controller tuning using multi-objective differential evolution. ICARCV 2010: 2398-2403 - [c74]Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan, Shi-Zheng Zhao:
Current position-based Fitness Euclidean-distance Ratio Particle Swarm Optimizer for multi-modal optimization. NaBIC 2010: 383-388 - [c73]Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Bo-Yang Qu:
Multiobjective Particle Swarm optimizer with dynamic epsilon-dominance sorting. NaBIC 2010: 389-394 - [c72]Siddharth Pal, Aniruddha Basak, Swagatam Das, Ponnuthurai N. Suganthan:
Synthesis of Difference Patterns for Monopulse Antenna Arrays - An Evolutionary Multi-objective Optimization Approach. SEAL 2010: 504-513 - [c71]Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Self-adaptive Differential Evolution with Modified Multi-Trajectory Search for CEC'2010 Large Scale Optimization. SEMCCO 2010: 1-10 - [c70]Bo-Yang Qu, Pushpan Gouthanan, Ponnuthurai Nagaratnam Suganthan:
Dynamic Grouping Crowding Differential Evolution with Ensemble of Parameters for Multi-modal Optimization. SEMCCO 2010: 19-28 - [c69]Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover Strategies. SEMCCO 2010: 71-78 - [c68]Rammohan Mallipeddi, Ashu Verma, Ponnuthurai Nagaratnam Suganthan, Bijaya K. Panigrahi, P. R. Bijwe:
Constraint Handling in Transmission Network Expansion Planning. SEMCCO 2010: 709-717 - [e1]Bijaya K. Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Subhransu Sekhar Dash:
Swarm, Evolutionary, and Memetic Computing - First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, Chennai, India, December 16-18, 2010. Proceedings. Lecture Notes in Computer Science 6466, Springer 2010, ISBN 978-3-642-17562-6 [contents]
2000 – 2009
- 2009
- [j35]Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Suganthan, Saikat Chakrabarti:
Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble. Bioinform. 25(2): 204-210 (2009) - [j34]A. Kai Qin, Vicky Ling Huang, Ponnuthurai N. Suganthan:
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization. IEEE Trans. Evol. Comput. 13(2): 398-417 (2009) - [c67]Vicky Ling Huang, Shuguang Z. Zhao, Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
Multi-objective optimization using self-adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation 2009: 190-194 - [c66]Ling Yu, Ponnuthurai N. Suganthan:
Evolutionary programming with ensemble of explicit memories for dynamic optimization. IEEE Congress on Evolutionary Computation 2009: 431-438 - [c65]Shuguang Zhao, Ponnuthurai N. Suganthan:
Diversity enhanced particle swarm optimizer for global optimization of multimodal problems. IEEE Congress on Evolutionary Computation 2009: 590-597 - [c64]Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai N. Suganthan, Yun-Chia Liang:
A differential evolution algorithm with variable parameter search for real-parameter continuous function optimization. IEEE Congress on Evolutionary Computation 2009: 1247-1254 - [c63]Quan-Ke Pan, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren:
A Harmony Search Algorithm with Ensemble of Parameter Sets. IEEE Congress on Evolutionary Computation 2009: 1815-1820 - [c62]Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Bo-Yang Qu:
Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problems. IEEE Congress on Evolutionary Computation 2009: 2106-2113 - [c61]Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Tay Jin Chua, Mohammed Abdullah Al-Hajri:
Differential Evolution Algorithms for the Generalized Assignment problem. IEEE Congress on Evolutionary Computation 2009: 2606-2613 - [c60]Bo-Yang Qu, Ponnuthurai N. Suganthan:
Multi-objective evolutionary programming without non-domination sorting is up to twenty times faster. IEEE Congress on Evolutionary Computation 2009: 2934-2939 - [c59]Ponnuthurai Nagaratnam Suganthan:
Tutorial: Evolutionary programming with diversity enhancement and ensemble strategies. MCDM 2009 - [c58]Li Qin Song, Meng-Hiot Lim, Ponnuthurai Nagaratnam Suganthan, V. K. Doan:
Ensemble for Solving Quadratic Assignment Problems. SoCPaR 2009: 190-195 - 2008
- [j33]Ganesan Pugalenthi, Ponnuthurai N. Suganthan, Ramanathan Sowdhamini, Saikat Chakrabarti:
MegaMotifBase: a database of structural motifs in protein families and superfamilies. Nucleic Acids Res. 36(Database-Issue): 218-221 (2008) - [c57]T. Aruldoss Albert Victoire, Ponnuthurai N. Suganthan:
Differential evolution and Evolutionary Programming for solving non-convex economic dispatch problems. IEEE Congress on Evolutionary Computation 2008: 1785-1791 - [c56]Ling Yu, Ponnuthurai N. Suganthan:
Empirical comparison of niching methods on hybrid composition functions. IEEE Congress on Evolutionary Computation 2008: 2194-2201 - [c55]Quan-Ke Pan, Mehmet Fatih Tasgetiren, Yun-Chia Liang, Ponnuthurai N. Suganthan:
Upper bounds on Taillard's benchmark suite for the no-wait flowshop scheduling problem with makespan criterion. IEEE Congress on Evolutionary Computation 2008: 2955-2961 - [c54]Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
Empirical study on the effect of population size on Differential evolution Algorithm. IEEE Congress on Evolutionary Computation 2008: 3663-3670 - [c53]Shi-Zheng Zhao, Jing J. Liang, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren:
Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization. IEEE Congress on Evolutionary Computation 2008: 3845-3852 - [c52]Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
Evaluation of novel adaptive evolutionary programming on four constraint handling techniques. IEEE Congress on Evolutionary Computation 2008: 4045-4052 - [c51]Ashish Anand, Gary B. Fogel, Ganesan Pugalenthi, Ponnuthurai N. Suganthan:
Prediction of Transcription Factor Families Using DNA Sequence Features. PRIB 2008: 154-164 - 2007
- [j32]Ganesan Pugalenthi, Ponnuthurai N. Suganthan, Ramanathan Sowdhamini, Saikat Chakrabarti:
SMotif: a server for structural motifs in proteins. Bioinform. 23(5): 637-638 (2007) - [j31]Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Suganthan, Govindaraju Archunan, Ramanathan Sowdhamini:
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties. BMC Bioinform. 8 (2007) - [c50]Ashish Anand, Ponnuthurai N. Suganthan, Kalyanmoy Deb:
A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. IEEE Congress on Evolutionary Computation 2007: 297-304 - [c49]C. Dürr, Tim Fühner, Ponnuthurai N. Suganthan:
LisBON: A framework for parallelisation and hybridisation of optimisation algorithms. IEEE Congress on Evolutionary Computation 2007: 1717-1724 - [c48]Gajaruban Kandavanam, Dmitri Botvich, Sasitharan Balasubramaniam, Ponnuthurai N. Suganthan, William Donnelly:
A multi-layered solution for supporting isp traffic demand using genetic algorithm. IEEE Congress on Evolutionary Computation 2007: 2032-2039 - [c47]Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan, Yun-Chia Liang:
A genetic algorithm for the generalized traveling salesman problem. IEEE Congress on Evolutionary Computation 2007: 2382-2389 - [c46]T. Aruldoss Albert Victoire, Ponnuthurai N. Suganthan:
Improved MOCLPSO algorithm for environmental/economic dispatch. IEEE Congress on Evolutionary Computation 2007: 3072-3076 - [c45]Vicky Ling Huang, A. Kai Qin, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren:
Multi-objective optimization based on self-adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation 2007: 3601-3608 - [c44]Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan, Yun-Chia Liang:
A Discrete Differential Evolution Algorithm for the No-Wait Flowshop Scheduling Problem with Total Flowtime Criterion. CISched 2007: 251-258 - [c43]Mehmet Fatih Tasgetiren, Quan-Ke Pan, Yun-Chia Liang, Ponnuthurai Nagaratnam Suganthan:
A Discrete Differential Evolution Algorithm for the Total Earliness and Tardiness Penalties with a Common Due Date on a Single-Machine. CISched 2007: 271-278 - [c42]Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan:
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem. GECCO 2007: 158-167 - 2006
- [j30]E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao:
Gene selection algorithms for microarray data based on least squares support vector machine. BMC Bioinform. 7: 95 (2006) - [j29]Vicky Ling Huang, Ponnuthurai N. Suganthan, Jing J. Liang:
Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems. Int. J. Intell. Syst. 21(2): 209-226 (2006) - [j28]E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao:
An analysis of diversity measures. Mach. Learn. 65(1): 247-271 (2006) - [j27]Jing J. Liang, S. Baskar, Ponnuthurai N. Suganthan, A. Kai Qin:
Performance Evaluation of Multiagent Genetic Algorithm. Nat. Comput. 5(1): 83-96 (2006) - [j26]A. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog:
Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction. Pattern Recognit. 39(9): 1805-1808 (2006) - [j25]Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar:
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans. Evol. Comput. 10(3): 281-295 (2006) - [c41]Jing J. Liang, Ponnuthurai N. Suganthan:
Dynamic Multi-Swarm Particle Swarm Optimizer with a Novel Constraint-Handling Mechanism. IEEE Congress on Evolutionary Computation 2006: 9-16 - [c40]Vicky Ling Huang, A. Kai Qin, Ponnuthurai N. Suganthan:
Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization. IEEE Congress on Evolutionary Computation 2006: 17-24 - [c39]Mehmet Fatih Tasgetiren, Ponnuthurai Nagaratnam Suganthan:
A Multi-Populated Differential Evolution Algorithm for Solving Constrained Optimization Problem. IEEE Congress on Evolutionary Computation 2006: 33-40 - [c38]Ashish Anand, Gary B. Fogel, E. Ke Tang, Ponnuthurai N. Suganthan:
Feature Selection Approach for Quantitative Prediction of Transcriptional Activities. CIBCB 2006: 1-6 - [c37]Y. Li, Ponnuthurai N. Suganthan, Xiang-Lin Qi, Yun-Jiu Wang:
Genetic Algorithm for Silhouette Matching. ICARCV 2006: 1-6 - [c36]A. Kai Qin, Ponnuthurai N. Suganthan, C. H. Tay, H. S. Pa:
Personal Identification System based on Multiple Palmprint Features. ICARCV 2006: 1-6 - [c35]A. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog:
Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis. ICPR (3) 2006: 125-128 - [c34]Jing J. Liang, Ponnuthurai N. Suganthan:
Adaptive Comprehensive Learning Particle Swarm Optimizer with History Learning. SEAL 2006: 213-220 - 2005
- [j24]E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao, A. Kai Qin:
Linear dimensionality reduction using relevance weighted LDA. Pattern Recognit. 38(4): 485-493 (2005) - [j23]A. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog:
Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion. Pattern Recognit. 38(4): 613-616 (2005) - [j22]A. Kai Qin, Ponnuthurai N. Suganthan:
Initialization insensitive LVQ algorithm based on cost-function adaptation. Pattern Recognit. 38(5): 773-776 (2005) - [j21]A. Kai Qin, Ponnuthurai N. Suganthan:
Enhanced neural gas network for prototype-based clustering. Pattern Recognit. 38(8): 1275-1288 (2005) - [j20]Qin-Yu Zhu, A. Kai Qin, Ponnuthurai N. Suganthan, Guang-Bin Huang:
Evolutionary extreme learning machine. Pattern Recognit. 38(10): 1759-1763 (2005) - [c33]A. Kai Qin, S. Y. M. Shi, Ponnuthurai N. Suganthan, Marco Loog:
Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data. AAAI 2005: 851-855 - [c32]Jing J. Liang, Ponnuthurai N. Suganthan:
Dynamic multi-swarm particle swarm optimizer with local search. Congress on Evolutionary Computation 2005: 522-528 - [c31]A. Kai Qin, Ponnuthurai N. Suganthan:
Self-adaptive differential evolution algorithm for numerical optimization. Congress on Evolutionary Computation 2005: 1785-1791 - [c30]E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao:
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization. CIBCB 2005: 9-16 - [c29]Jane-Jing Liang, Ponnuthurai Nagaratnam Suganthan, Kalyanmoy Deb:
Novel composition test functions for numerical global optimization. SIS 2005: 68-75 - [c28]Jane-Jing Liang, Ponnuthurai Nagaratnam Suganthan:
Dynamic multi-swarm particle swarm optimizer. SIS 2005: 124-129 - 2004
- [j19]T. Lu, Ponnuthurai N. Suganthan:
An Accumulation Algorithm for Video Shot Boundary Detection. Multim. Tools Appl. 22(1): 89-106 (2004) - [j18]A. Kai Qin, Ponnuthurai N. Suganthan:
Robust growing neural gas algorithm with application in cluster analysis. Neural Networks 17(8-9): 1135-1148 (2004) - [c27]S. Baskar, Ponnuthurai Nagaratnam Suganthan:
A novel concurrent particle swarm optimization. IEEE Congress on Evolutionary Computation 2004: 792-796 - [c26]S. Baskar, A. Alphones, Ponnuthurai N. Suganthan:
Concurrent PSO and FDR-PSO based reconfigurable phase-differentiated antenna array design. IEEE Congress on Evolutionary Computation 2004: 2173-2179 - [c25]E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao:
Generalized LDA using relevance weighting and evolution strategy. IEEE Congress on Evolutionary Computation 2004: 2230-2234 - [c24]Stanley Y. M. Shi, Ponnuthurai N. Suganthan, Kalyanmoy Deb:
Multiclass protein fold recognition using multiobjective evolutionary algorithms. CIBCB 2004: 61-66 - [c23]Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar:
Evaluation of Comprehensive Learning Particle Swarm Optimizer. ICONIP 2004: 230-235 - [c22]E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao:
Nonlinear Feature Extraction Using Evolutionary Algorithm. ICONIP 2004: 1014-1019 - [c21]A. Kai Qin, Ponnuthurai N. Suganthan:
Kernel Neural Gas Algorithms with Application to Cluster Analysis. ICPR (4) 2004: 617-620 - [c20]A. Kai Qin, Ponnuthurai N. Suganthan:
A Novel Kernel Prototype-Based Learning Algorithm. ICPR (4) 2004: 621-624 - [c19]Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar:
Particle swarm optimization algorithms with novel learning strategies. SMC (4) 2004: 3659-3664 - [c18]A. Kai Qin, Ponnuthurai N. Suganthan, Jing J. Liang:
A new generalized LVQ algorithm via harmonic to minimum distance measure transition. SMC (5) 2004: 4821-4825 - 2003
- [j17]Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan:
Boosting the HONG network. Neurocomputing 51: 75-86 (2003) - [j16]Xiang Cao, Ponnuthurai N. Suganthan:
Video shot motion characterization based on hierarchical overlapped growing neural gas networks. Multim. Syst. 9(4): 378-385 (2003) - [j15]K. G. Khoo, Ponnuthurai N. Suganthan:
Structural pattern recognition using genetic algorithms with specialized operators. IEEE Trans. Syst. Man Cybern. Part B 33(1): 156-165 (2003) - [c17]S. Y. M. Shi, Ponnuthurai N. Suganthan:
Feature Analysis and Classification of Protein Secondary Structure Data. ICANN 2003: 1151-1158 - 2002
- [j14]Xiang Cao, Ponnuthurai N. Suganthan:
Neural Network Based Temporal Video Segmentation. Int. J. Neural Syst. 12(3-4): 263-269 (2002) - [j13]Ponnuthurai N. Suganthan:
Structural pattern recognition using genetic algorithms. Pattern Recognit. 35(9): 1883-1893 (2002) - [j12]K. G. Khoo, Ponnuthurai N. Suganthan:
Evaluation of genetic operators and solution representations for shape recognition by genetic algorithms. Pattern Recognit. Lett. 23(13): 1589-1597 (2002) - [j11]Ponnuthurai Nagaratnam Suganthan:
Shape indexing using self-organizing maps. IEEE Trans. Neural Networks 13(4): 835-840 (2002) - [c16]K. G. Khoo, Ponnuthurai N. Suganthan:
Objective function decomposition within genetic algorithm. IEEE Congress on Evolutionary Computation 2002: 356-359 - 2001
- [j10]Ponnuthurai N. Suganthan:
Pattern classification using multiple hierarchical overlapped self-organising maps. Pattern Recognit. 34(11): 2173-2179 (2001) - [c15]K. G. Khoo, Ponnuthurai N. Suganthan:
Multiple relational graphs mapping using genetic algorithms. CEC 2001: 727-733 - [c14]Yin Huang, Ponnuthurai N. Suganthan, Shankar M. Krishnan, Xiang Cao:
Evaluation of Distance Measures for Partial Image Retrieval Using Self-Organizing Map. ICANN 2001: 1042-1047 - [c13]Xiang Cao, Ponnuthurai N. Suganthan:
Video Sequence Boundary Detection Using Neural Gas Networks. ICANN 2001: 1048-1053 - [c12]Ponnuthurai N. Suganthan:
Shapesom. WSOM 2001: 110-117 - 2000
- [j9]Ajantha S. Atukorale, Ponnuthurai N. Suganthan:
Hierarchical overlapped neural gas network with application to pattern classification. Neurocomputing 35(1-4): 165-176 (2000) - [c11]Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan:
On the Performance of the HONG Network for Pattern Classification. IJCNN (2) 2000: 285-290
1990 – 1999
- 1999
- [j8]Ponnuthurai N. Suganthan:
Hierarchical overlapped SOM's for pattern classification. IEEE Trans. Neural Networks 10(1): 193-196 (1999) - [j7]Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
Hopfield network with constraint parameter adaptation for overlapped shape recognition. IEEE Trans. Neural Networks 10(2): 444-449 (1999) - [c10]Ponnuthurai N. Suganthan:
Particle swarm optimiser with neighbourhood operator. CEC 1999: 1958-1964 - [c9]Ajantha S. Atukorale, Ponnuthurai N. Suganthan:
Combining Classifiers based on Confidence Values. ICDAR 1999: 37-40 - [c8]Ajantha S. Atukorale, Ponnuthurai N. Suganthan:
Combining multiple HONG networks for recognizing unconstrained handwritten numerals. IJCNN 1999: 2928-2933 - [c7]Ponnuthurai N. Suganthan:
Solving jigsaw puzzles using Hopfield neural networks. IJCNN 1999: 3745-3749 - 1998
- [j6]Ponnuthurai N. Suganthan, Hong Yan:
Recognition of handprinted Chinese characters by constrained graph matching. Image Vis. Comput. 16(3): 191-201 (1998) - [j5]Ponnuthurai N. Suganthan, Hong Yan, Eam Khwang Teoh, Dinesh P. Mital:
Optimal encoding of graph homomorphism energy using fuzzy information aggregation operators. Pattern Recognit. 31(5): 623-639 (1998) - [c6]Ponnuthurai N. Suganthan, Nikhil R. Pal:
Pattern Classification Using Multiple SOMs. ICONIP 1998: 1065-1068 - 1997
- [j4]Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
Optimal mapping of graph homomorphism onto self organising Hopfield network. Image Vis. Comput. 15(9): 679-694 (1997) - [c5]Ponnuthurai N. Suganthan:
Structure Adaptive Multilayer SOM with Partial Supervision for Numeral Recognition. ICONIP (2) 1997: 1235-1238 - 1996
- [c4]Ponnuthurai N. Suganthan, Hong Yan:
Handwritten Chinese character recognition by ARG matching using self-organising Hopfield neural network. ICNN 1996: 1456-1461 - 1995
- [j3]Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
Pattern recognition by homomorphic graph matching using Hopfield neural networks. Image Vis. Comput. 13(1): 45-60 (1995) - [j2]Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
Self-organizing Hopfield network for attributed relational graph matching. Image Vis. Comput. 13(1): 61-73 (1995) - [j1]Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
Pattern recognition by graph matching using the Potts MFT neural networks. Pattern Recognit. 28(7): 997-1009 (1995) - [c3]Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
Learning critical temperature for homomorphic ARG matching by self-organising Hopfield network. ICNN 1995: 1668-1673 - [c2]Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
Fuzzy connectives based optimal mapping of homomorphic ARG matching onto self-organising Hopfield network. ICNN 1995: 2139-2144 - 1994
- [c1]Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
On Attributed Relational Graph Matching Using Hopfield Network. ECAI 1994: 236-240
Coauthor Index
M. A. Ganaie 0001
aka: Mudasir Ahmad Ganaie
aka: Mudasir Ahmad Ganaie
Kai-Zhou Gao
aka: Kaizhou Gao
aka: Kaizhou Gao
Rakesh Katuwal
aka: Katuwal Rakesh
aka: Katuwal Rakesh
Bijaya K. Panigrahi
aka: Bijaya Ketan Panigrahi
aka: Bijaya Ketan Panigrahi
Bo-Yang Qu
aka: Boyang Qu
aka: Boyang Qu
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