default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYi Mei 0001
Person information
- affiliation: Victoria University of Wellington, School of Engineering and Computer Science, New Zealand
- affiliation (Phd 2010): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Yi Mei 0002
![[0000-0002-7104-0320]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7104-0320")
— Guizhou University, Guiyang, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j71]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison. IEEE Comput. Intell. Mag. 19(2): 18-33 (2024)- [j70]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf:
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling. Genet. Program. Evolvable Mach. 25(1): 5 (2024) - [j69]Zhixing Huang, Yi Mei, Jinghui Zhong:
Semantic Linear Genetic Programming for Symbolic Regression. IEEE Trans. Cybern. 54(2): 1321-1334 (2024) - [j68]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling. IEEE Trans. Evol. Comput. 28(1): 147-167 (2024) - [j67]Shaolin Wang, Yi Mei, Mengjie Zhang:
Explaining Genetic Programming-Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 28(4): 918-932 (2024) - [j66]Tong Guo, Yi Mei, Ke Tang, Wenbo Du:
A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management. IEEE Trans. Evol. Comput. 28(4): 994-1008 (2024) - [j65]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming With Lexicase Selection for Large-Scale Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. 28(5): 1235-1249 (2024) - [j64]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Multitask Linear Genetic Programming With Shared Individuals and Its Application to Dynamic Job Shop Scheduling. IEEE Trans. Evol. Comput. 28(6): 1546-1560 (2024) - [j63]Tong Guo, Yi Mei, Ke Tang, Wenbo Du:
Cooperative Co-Evolution for Large-Scale Multiobjective Air Traffic Flow Management. IEEE Trans. Evol. Comput. 28(6): 1644-1658 (2024) - [j62]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles. IEEE Trans. Evol. Comput. 28(6): 1761-1775 (2024) - [j61]Zai-Xing Sun, Yi Mei, Fangfang Zhang, Hejiao Huang, Chonglin Gu, Mengjie Zhang:
Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds. IEEE Trans. Serv. Comput. 17(5): 2687-2703 (2024) - [j60]Ruonan Zhai, Yi Mei, Tong Guo, Wenbo Du:
A Collaborative Drone-Truck Delivery System With Memetic Computing Optimization. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3618-3630 (2024) - [c151]Junwei Pang, Yi Mei, Mengjie Zhang:
Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules. CEC 2024: 1-8 - [c150]Yuan Tian, Yi Mei, Mengjie Zhang:
Learning Heuristics via Genetic Programming for Multi-Mode Resource-Constrained Project Scheduling. CEC 2024: 1-8 - [c149]Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei:
Intepretable Local Explanations Through Genetic Programming. GECCO Companion 2024: 247-250 - [c148]Xiao-Cheng Liao, Yi Mei, Mengjie Zhang:
Learning Traffic Signal Control via Genetic Programming. GECCO 2024 - [c147]Shaolin Wang, Yi Mei, Mengjie Zhang:
A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing Problem. GECCO Companion 2024: 547-550 - [c146]Trevor Londt, Xiaoying Gao, Yi Mei:
A Cooperative Coevolution Neural Architecture Search Approach for Evolving Convolutional Neural Networks. GECCO Companion 2024: 599-602 - [c145]Yi Mei, Günther Raidl:
Evolutionary Computation meets Machine Learning for Combinatorial Optimisation. GECCO Companion 2024: 1328-1351 - [c144]Jiyuan Pei, Jialin Liu, Yi Mei:
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework. GECCO 2024 - [c143]Zai-Xing Sun, Fangfang Zhang, Yi Mei, Hejiao Huang, Chonglin Gu, Bin Qian, Mengjie Zhang:
Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Genetic Programming Hyper-Heuristics. ICIC (1) 2024: 169-182 - [c142]Saining Liu, João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems. PPSN (1) 2024: 36-51 - [c141]Ruiqi Chen, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Neural Network Surrogate Based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic. PRICAI (1) 2024: 309-321 - [i11]Yang Wang, Ya-Hui Jia, Wei-Neng Chen, Yi Mei:
Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems. CoRR abs/2401.06979 (2024) - [i10]Chanjuan Liu, Shike Ge, Zhihan Chen, Wenbin Pei, Enqiang Zhu, Yi Mei, Hisao Ishibuchi:
Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm. CoRR abs/2402.00404 (2024) - [i9]Xiao-Cheng Liao, Yi Mei, Mengjie Zhang:
Learning Traffic Signal Control via Genetic Programming. CoRR abs/2403.17328 (2024) - [i8]Jiyuan Pei, Jialin Liu, Yi Mei:
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework. CoRR abs/2404.10252 (2024) - [i7]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf:
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations. CoRR abs/2405.14268 (2024) - [i6]Xiao-Cheng Liao, Wei-Neng Chen, Xiang-Ling Chen, Yi Mei:
Emergent Crowd Grouping via Heuristic Self-Organization. CoRR abs/2407.00674 (2024) - 2023
- [j59]Yuzhou Zhang, Yi Mei, Haiqi Zhang, Qinghua Cai, Haifeng Wu:
RoCaSH2: An Effective Route Clustering and Search Heuristic for Large-Scale Multi-Depot Capacitated Arc Routing Problem. IEEE Comput. Intell. Mag. 18(4): 43-56 (2023) - [j58]Biyue Li, Tong Guo, Yi Mei, Yumeng Li, Jun Chen, Yu Zhang, Ke Tang, Wenbo Du:
A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation. Swarm Evol. Comput. 83: 101400 (2023) - [j57]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
A Two-Stage Swarm Optimizer With Local Search for Water Distribution Network Optimization. IEEE Trans. Cybern. 53(3): 1667-1681 (2023) - [j56]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
Learning Heuristics With Different Representations for Stochastic Routing. IEEE Trans. Cybern. 53(5): 3205-3219 (2023) - [j55]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling. IEEE Trans. Cybern. 53(7): 4473-4486 (2023) - [j54]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang, Xin Yao:
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 27(2): 311-325 (2023) - [j53]Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang:
Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. 27(3): 621-641 (2023) - [j52]Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling. IEEE Trans. Evol. Comput. 27(5): 1192-1206 (2023) - [j51]Xinye Cai, Kang Wang, Yi Mei, Zhenhua Li, Jun Zhao, Qingfu Zhang:
Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem. IEEE Trans. Evol. Comput. 27(6): 1604-1617 (2023) - [j50]Shaolin Wang, Yi Mei, Mengjie Zhang:
A Multi-Objective Genetic Programming Algorithm With α Dominance and Archive for Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 27(6): 1633-1647 (2023) - [j49]Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. 27(6): 1705-1719 (2023) - [j48]Meng Xu, Yi Mei, Shiqiang Zhu, Beibei Zhang, Tian Xiang, Fangfang Zhang, Mengjie Zhang:
Genetic Programming for Dynamic Workflow Scheduling in Fog Computing. IEEE Trans. Serv. Comput. 16(4): 2657-2671 (2023) - [c140]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling. AI (2) 2023: 403-415 - [c139]Trevor Londt, Xiaoying Gao, Peter Andreae, Yi Mei:
XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks. AI (2) 2023: 416-428 - [c138]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling. AI (2) 2023: 466-478 - [c137]Gaofeng Shi, Fangfang Zhang, Yi Mei:
Interpretability-Aware Multi-Objective Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. CEC 2023: 1-8 - [c136]Shihao Dai, Ya-Hui Jia, Wei-Neng Chen, Yi Mei:
Adaptive Particle Swarm Optimization with Local Search for Multi-robot Multi-point Dynamic Aggregation. GECCO Companion 2023: 195-198 - [c135]Fangfang Zhang, Yi Mei, Mengjie Zhang:
An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming. GECCO Companion 2023: 259-262 - [c134]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Learning to Select Initialisation Heuristic for Vehicle Routing Problems. GECCO 2023: 266-274 - [c133]Jiyuan Pei, Hao Tong, Jialin Liu, Yi Mei, Xin Yao:
Local Optima Correlation Assisted Adaptive Operator Selection. GECCO 2023: 339-347 - [c132]Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei:
Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. GECCO 2023: 393-401 - [c131]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling. GECCO Companion 2023: 427-430 - [c130]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling. GECCO 2023: 1137-1145 - [c129]Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang, Jessica Signal:
Learning Emergency Medical Dispatch Policies Via Genetic Programming. GECCO 2023: 1409-1417 - [c128]Trevor Londt, Xiaoying Gao, Peter Andreae, Yi Mei:
A Two-Stage Hybrid GA-Cellular Encoding Approach to Neural Architecture Search. SSCI 2023: 1814-1820 - [i5]Jiyuan Pei, Hao Tong, Jialin Liu, Yi Mei, Xin Yao:
Local Optima Correlation Assisted Adaptive Operator Selection. CoRR abs/2305.02805 (2023) - [i4]Trevor Londt, Xiaoying Gao, Peter Andreae, Yi Mei:
XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks. CoRR abs/2312.07760 (2023) - 2022
- [j47]Yuan Tian, Tifan Xiong, Zhenyuan Liu, Yi Mei, Li Wan:
Multi-Objective multi-skill resource-constrained project scheduling problem with skill switches: Model and evolutionary approaches. Comput. Ind. Eng. 167: 107897 (2022) - [j46]Wei Fang, Haolin Zhu, Yi Mei:
Hybrid meta-heuristics for the unrelated parallel machine scheduling problem with setup times. Knowl. Based Syst. 241: 108193 (2022) - [j45]Boxiong Tan, Hui Ma, Yi Mei, Mengjie Zhang:
A Cooperative Coevolution Genetic Programming Hyper-Heuristics Approach for On-Line Resource Allocation in Container-Based Clouds. IEEE Trans. Cloud Comput. 10(3): 1500-1514 (2022) - [j44]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
Contribution-Based Cooperative Co-Evolution for Nonseparable Large-Scale Problems With Overlapping Subcomponents. IEEE Trans. Cybern. 52(6): 4246-4259 (2022) - [j43]Guanqiang Gao, Yi Mei, Ya-Hui Jia, Will N. Browne, Bin Xin:
Adaptive Coordination Ant Colony Optimization for Multipoint Dynamic Aggregation. IEEE Trans. Cybern. 52(8): 7362-7376 (2022) - [j42]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling. IEEE Trans. Cybern. 52(8): 8142-8156 (2022) - [j41]Yuzhou Zhang, Yi Mei, Shihua Huang, Xin Zheng, Cuijuan Zhang:
A Route Clustering and Search Heuristic for Large-Scale Multidepot-Capacitated Arc Routing Problem. IEEE Trans. Cybern. 52(8): 8286-8299 (2022) - [j40]Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling. IEEE Trans. Cybern. 52(10): 10515-10528 (2022) - [j39]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem. IEEE Trans. Cybern. 52(10): 10855-10868 (2022) - [j38]Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will N. Browne:
Automated Coordination Strategy Design Using Genetic Programming for Dynamic Multipoint Dynamic Aggregation. IEEE Trans. Cybern. 52(12): 13521-13535 (2022) - [j37]Shaolin Wang, Yi Mei, Mengjie Zhang, Xin Yao:
Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 26(1): 73-87 (2022) - [j36]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 26(4): 765-779 (2022) - [j35]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes. IEEE Trans. Evol. Comput. 26(6): 1394-1408 (2022) - [j34]Xinye Cai, Qi Sun, Zhenhua Li, Yushun Xiao, Yi Mei, Qingfu Zhang, Xiaoping Li:
Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(6): 1553-1565 (2022) - [c127]Taiwo Akindele, Boxiong Tan, Yi Mei, Hui Ma:
Hybrid Grouping Genetic Algorithm for Large-Scale Two-Level Resource Allocation of Containers in the Cloud. AI 2022: 519-530 - [c126]Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei:
Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution. CEC 2022: 1-8 - [c125]Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching. CEC 2022: 1-8 - [c124]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. CEC 2022: 1-8 - [c123]Gaofeng Shi, Fangfang Zhang, Yi Mei:
A Novel Fitness Function for Genetic Programming in Dynamic Flexible Job Shop Scheduling. CEC 2022: 1-8 - [c122]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling. CEC 2022: 1-8 - [c121]Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang:
Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling. CEC 2022: 1-8 - [c120]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling. CEC 2022: 1-8 - [c119]Zhixing Huang, Fangfang Zhang, Yi Mei, Mengjie Zhang:
An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling. EuroGP 2022: 162-178 - [c118]Sai Panda, Yi Mei, Mengjie Zhang:
Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling. EvoCOP 2022: 95-110 - [c117]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Guided local search with an adaptive neighbourhood size heuristic for large scale vehicle routing problems. GECCO 2022: 213-221 - [c116]Shaolin Wang, Yi Mei, Mengjie Zhang:
Local ranking explanation for genetic programming evolved routing policies for uncertain capacitated Arc routing problems. GECCO 2022: 314-322 - [c115]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic programming with diverse partner selection for dynamic flexible job shop scheduling. GECCO Companion 2022: 615-618 - [c114]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Graph-based linear genetic programming: a case study of dynamic scheduling. GECCO 2022: 955-963 - [c113]Guanqiang Gao, Bin Xin, Yi Mei, Shengyu Lu, Shuxin Ding:
A multi-objective evolutionary algorithm with new reproduction and decomposition mechanisms for the multi-point dynamic aggregation problem. GECCO 2022: 1182-1190 - [c112]Marko Durasevic, Domagoj Jakobovic, Yi Mei, Su Nguyen, Mengjie Zhang:
Introduction to automated design of scheduling heuristics with genetic programming. GECCO Companion 2022: 1506-1526 - [c111]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. PPSN (2) 2022: 48-62 - [c110]Jiyuan Pei, Yi Mei, Jialin Liu, Xin Yao:
An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem. PRICAI (1) 2022: 562-573 - [c109]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling. SSCI 2022: 496-503 - [c108]Bo-Cheng Lin, Xiao-Fang Liu, Yi Mei:
Efficient Extended Ant Colony Optimization for Capacitated Electric Vehicle Routing. SSCI 2022: 504-511 - [c107]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling. SSCI 2022: 1218-1225 - 2021
- [b1]Fangfang Zhang, Su Nguyen, Yi Mei, Mengjie Zhang:
Genetic Programming for Production Scheduling - An Evolutionary Learning Approach, 3. Springer 2021, ISBN 978-981-16-4858-8, pp. 3-321 - [j33]Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li, Michael Narag:
Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques. Artif. Intell. Medicine 120: 102167 (2021) - [j32]Binzi Xu, Yi Mei, Yan Wang, Zhicheng Ji, Mengjie Zhang:
Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling. Evol. Comput. 29(1): 75-105 (2021) - [j31]Yuzhou Zhang, Yi Mei, Buzhong Zhang, Keqin Jiang:
Divide-and-conquer large scale capacitated arc routing problems with route cutting off decomposition. Inf. Sci. 553: 208-224 (2021) - [j30]Lin Li, Wei Fang, Yi Mei, Quan Wang:
Cooperative coevolution for large-scale global optimization based on fuzzy decomposition. Soft Comput. 25(5): 3593-3608 (2021) - [j29]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling. IEEE Trans. Cybern. 51(4): 1797-1811 (2021) - [j28]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. 25(3): 552-566 (2021) - [j27]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang, Kay Chen Tan:
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. 25(4): 651-665 (2021) - [j26]Boxiong Tan, Hui Ma, Yi Mei, Mengjie Zhang:
Evolutionary Multi-Objective Optimization for Web Service Location Allocation Problem. IEEE Trans. Serv. Comput. 14(2): 458-471 (2021) - [c106]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem. CEC 2021: 628-635 - [c105]Shaolin Wang, Yi Mei, Mengjie Zhang:
A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing Problem. CEC 2021: 636-643 - [c104]Sai Panda, Yi Mei:
Genetic Programming with Algebraic Simplification for Dynamic Job Shop Scheduling. CEC 2021: 1848-1855 - [c103]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming. CEC 2021: 1864-1871 - [c102]Jordan MacLachlan, Yi Mei:
Look-Ahead Genetic Programming for Uncertain Capacitated Arc Routing Problem. CEC 2021: 1872-1879 - [c101]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
An Evolutionary Hyper-Heuristic Approach to the Large Scale Vehicle Routing Problem. CEC 2021: 2109-2116 - [c100]Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang:
Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling. CEC 2021: 2117-2124 - [c99]Shaolin Wang, Yi Mei, Mengjie Zhang:
Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem. GECCO 2021: 287-295 - [c98]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A novel multi-task genetic programming approach to uncertain capacitated Arc routing problem. GECCO 2021: 759-767 - [c97]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem. SSCI 2021: 1-8 - [c96]Fergus Currie, Yi Mei, Mengjie Zhang, Maren Wellenreuther, Linley Jesson:
An Investigation on Multi-Objective Fish Breeding Program Design. SSCI 2021: 1-8 - [c95]Zhixing Huang, Yi Mei, Mengjie Zhang:
Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling. SSCI 2021: 1-8 - [c94]Jiyuan Pei, Chengpeng Hu, Jialin Liu, Yi Mei, Xin Yao:
Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access. SSCI 2021: 1-9 - [c93]Shaolin Wang, Yi Mei, Mengjie Zhang:
An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem. SSCI 2021: 1-8 - [p1]Yi Mei, Mazhar Ansari Ardeh, Mengjie Zhang:
Knowledge Transfer in Genetic Programming Hyper-heuristics. Automated Design of Machine Learning and Search Algorithms 2021: 149-169 - [i3]Guanqiang Gao, Bin Xin, Yi Mei, Shuxin Ding, Juan Li:
A Hybrid Decomposition-based Multi-objective Evolutionary Algorithm for the Multi-Point Dynamic Aggregation Problem. CoRR abs/2105.04934 (2021) - 2020
- [j25]Yuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang:
A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem. Evol. Comput. 28(2): 289-316 (2020) - [j24]Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems. Evol. Comput. 28(4): 563-593 (2020) - [j23]Zhixing Huang, Jinghui Zhong, Liang Feng, Yi Mei, Wentong Cai:
A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression. Soft Comput. 24(10): 7523-7539 (2020) - [j22]Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, Mengjie Zhang:
A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 538-554 (2020) - [c92]Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li:
Ontology-Guided Data Augmentation for Medical Document Classification. AIME 2020: 78-88 - [c91]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem. Australasian Conference on Artificial Intelligence 2020: 150-162 - [c90]Boxiong Tan, Hui Ma, Yi Mei:
A NSGA-II-based Approach for Multi-objective Micro-service Allocation in Container-based Clouds. CCGRID 2020: 282-289 - [c89]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems. CEC 2020: 1-8 - [c88]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Cluster-based Hyper-Heuristic for Large-Scale Vehicle Routing Problem. CEC 2020: 1-8 - [c87]Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will N. Browne:
A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions. CEC 2020: 1-8 - [c86]Jericho Jackson, Yi Mei:
Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows. CEC 2020: 1-8 - [c85]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling. CEC 2020: 1-8 - [c84]Shaolin Wang, Yi Mei, Mengjie Zhang:
A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems. CEC 2020: 1-8 - [c83]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling. EuroGP 2020: 262-278 - [c82]Boxiong Tan, Hui Ma, Yi Mei:
A Group Genetic Algorithm for Resource Allocation in Container-Based Clouds. EvoCOP 2020: 180-196 - [c81]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling. EvoCOP 2020: 214-230 - [c80]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming. GECCO Companion 2020: 107-108 - [c79]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
A memetic level-based learning swarm optimizer for large-scale water distribution network optimization. GECCO 2020: 1107-1115 - [c78]Shaolin Wang, Yi Mei, Mengjie Zhang:
Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem. SSCI 2020: 2399-2406 - [c77]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem. SSCI 2020: 2407-2414 - [c76]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem. SSCI 2020: 2415-2422 - [c75]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. SSCI 2020: 2786-2793 - [c74]Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li:
A Dictionary-based Oversampling Approach to Clinical Document Classification on Small and Imbalanced Dataset. WI/IAT 2020: 357-364
2010 – 2019
- 2019
- [j21]Su Nguyen, Yi Mei, Bing Xue, Mengjie Zhang:
A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules. Evol. Comput. 27(3): 467-496 (2019) - [c73]Boxiong Tan, Hui Ma, Yi Mei:
Novel Genetic Algorithm with Dual Chromosome Representation for Resource Allocation in Container-Based Clouds. CLOUD 2019: 452-456 - [c72]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling. Australasian Conference on Artificial Intelligence 2019: 536-548 - [c71]Fangfang Zhang, Yi Mei, Mengjie Zhang:
Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling? CEC 2019: 41-48 - [c70]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem. CEC 2019: 49-56 - [c69]Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li:
An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation. CEC 2019: 119-126 - [c68]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. CEC 2019: 434-441 - [c67]Fangfang Zhang, Yi Mei, Mengjie Zhang:
Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics. CEC 2019: 1366-1373 - [c66]Boxiong Tan, Hui Ma, Yi Mei:
A Hybrid Genetic Programming Hyper-Heuristic Approach for Online Two-level Resource Allocation in Container-based Clouds. CEC 2019: 2681-2688 - [c65]Fangfang Zhang, Yi Mei, Mengjie Zhang:
A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling. EvoCOP 2019: 33-49 - [c64]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem. GECCO (Companion) 2019: 334-335 - [c63]Fangfang Zhang, Yi Mei, Mengjie Zhang:
A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling. GECCO 2019: 347-355 - [c62]Shaolin Wang, Yi Mei, Mengjie Zhang:
Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem. GECCO 2019: 1093-1101 - [c61]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. PRICAI (1) 2019: 196-200 - [c60]Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li:
Stratifying Risk of Coronary Artery Disease Using Discriminative Knowledge-Guided Medical Concept Pairings from Clinical Notes. PRICAI (3) 2019: 457-473 - [c59]Deepak Karunakaran, Yi Mei, Mengjie Zhang:
Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows. SSCI 2019: 1598-1605 - [c58]Shaolin Wang, Yi Mei, John Park, Mengjie Zhang:
A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem. SSCI 2019: 1606-1613 - [c57]Shaolin Wang, Yi Mei, John Park, Mengjie Zhang:
Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem. SSCI 2019: 1628-1635 - [i2]Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems. CoRR abs/1911.08650 (2019) - [i1]Yuzhou Zhang, Yi Mei:
Divide-and-Conquer Large Scale Capacitated Arc Routing Problems with Route Cutting Off Decomposition. CoRR abs/1912.12667 (2019) - 2018
- [j20]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling. Appl. Soft Comput. 63: 72-86 (2018) - [j19]Su Nguyen, Yi Mei, Mengjie Zhang:
Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation. Genet. Program. Evolvable Mach. 19(1-2): 5-7 (2018) - [j18]Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang:
Evolutionary computation for automatic Web service composition: an indirect representation approach. J. Heuristics 24(3): 425-456 (2018) - [j17]Jing Xie, Yi Mei, Andreas T. Ernst, Xiaodong Li, Andy Song:
A Bi-Level Optimization Model for Grouping Constrained Storage Location Assignment Problems. IEEE Trans. Cybern. 48(1): 385-398 (2018) - [c56]Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li:
Uncovering Discriminative Knowledge-Guided Medical Concepts for Classifying Coronary Artery Disease Notes. Australasian Conference on Artificial Intelligence 2018: 104-110 - [c55]Boxiong Tan, Hui Ma, Yi Mei:
A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds. Australasian Conference on Artificial Intelligence 2018: 146-152 - [c54]Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang:
Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III. Australasian Conference on Artificial Intelligence 2018: 358-370 - [c53]Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem. Australasian Conference on Artificial Intelligence 2018: 432-444 - [c52]Fangfang Zhang, Yi Mei, Mengjie Zhang:
Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling. Australasian Conference on Artificial Intelligence 2018: 472-484 - [c51]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. Australasian Conference on Artificial Intelligence 2018: 739-751 - [c50]Fangfang Zhang, Yi Mei, Mengjie Zhang:
Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling. Australasian Conference on Artificial Intelligence 2018: 766-772 - [c49]Yi Mei, Mengjie Zhang:
Genetic Programming Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows. CEC 2018: 1-8 - [c48]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. EuroGP 2018: 253-270 - [c47]Daniel Yska, Yi Mei, Mengjie Zhang:
Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling. EuroGP 2018: 306-321 - [c46]Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang:
Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. EvoCOP 2018: 116-131 - [c45]Yi Mei, Mengjie Zhang:
Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem. GECCO (Companion) 2018: 141-142 - [c44]Daniel Yska, Yi Mei, Mengjie Zhang:
Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling. GECCO (Companion) 2018: 149-150 - [c43]Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, Mengjie Zhang:
A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition. ICWS 2018: 26-33 - [c42]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. PPSN (2) 2018: 347-359 - [c41]Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - 2017
- [j16]Yuzhou Zhang, Yi Mei, Ke Tang, Keqin Jiang:
Memetic algorithm with route decomposing for periodic capacitated arc routing problem. Appl. Soft Comput. 52: 1130-1142 (2017) - [j15]Md. Jakirul Islam, Xiaodong Li, Yi Mei:
A time-varying transfer function for balancing the exploration and exploitation ability of a binary PSO. Appl. Soft Comput. 59: 182-196 (2017) - [j14]Mohammad Saiedur Rahaman, Yi Mei, Margaret Hamilton, Flora D. Salim:
CAPRA: A contour-based accessible path routing algorithm. Inf. Sci. 385: 157-173 (2017) - [j13]Mohammad Nabi Omidvar, Ming Yang, Yi Mei, Xiaodong Li, Xin Yao:
DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization. IEEE Trans. Evol. Comput. 21(6): 929-942 (2017) - [j12]Yi Mei, Su Nguyen, Bing Xue, Mengjie Zhang:
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming. IEEE Trans. Emerg. Top. Comput. Intell. 1(5): 339-353 (2017) - [c40]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown. ACALCI 2017: 301-313 - [c39]Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang:
A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. ACALCI 2017: 326-338 - [c38]Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei, Mengjie Zhang:
Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching. Australasian Conference on Artificial Intelligence 2017: 39-51 - [c37]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. CEC 2017: 364-371 - [c36]Josiah Jacobsen-Grocott, Yi Mei, Gang Chen, Mengjie Zhang:
Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. CEC 2017: 1948-1955 - [c35]Boxiong Tan, Hui Ma, Yi Mei:
A NSGA-II-based approach for service resource allocation in Cloud. CEC 2017: 2574-2581 - [c34]Yi Mei, Su Nguyen, Mengjie Zhang:
Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming. EuroGP 2017: 147-163 - [c33]Qi Chen, Bing Xue, Yi Mei, Mengjie Zhang:
Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression. EuroGP 2017: 229-245 - [c32]Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang:
Automated state feature learning for actor-critic reinforcement learning through NEAT. GECCO (Companion) 2017: 135-136 - [c31]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty. GECCO 2017: 282-289 - [c30]Yuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang:
Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem. GECCO 2017: 290-297 - [c29]Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang:
Fragment-based genetic programming for fully automated multi-objective web service composition. GECCO 2017: 353-360 - [c28]Yi Mei, Su Nguyen, Mengjie Zhang:
Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling. SEAL 2017: 435-447 - [c27]Yiming Peng, Gang Chen, Mengjie Zhang, Yi Mei:
Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction. SEAL 2017: 473-485 - 2016
- [j11]Yi Mei, Flora D. Salim, Xiaodong Li:
Efficient meta-heuristics for the Multi-Objective Time-Dependent Orienteering Problem. Eur. J. Oper. Res. 254(2): 443-457 (2016) - [j10]Yi Mei, Xiaodong Li, Xin Yao:
On investigation of interdependence between sub-problems of the Travelling Thief Problem. Soft Comput. 20(1): 157-172 (2016) - [j9]Pietro A. Consoli, Yi Mei, Leandro L. Minku, Xin Yao:
Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis. Soft Comput. 20(10): 3889-3914 (2016) - [j8]Jianhua Liu, Yi Mei, Xiaodong Li:
An Analysis of the Inertia Weight Parameter for Binary Particle Swarm Optimization. IEEE Trans. Evol. Comput. 20(5): 666-681 (2016) - [j7]Yi Mei, Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao:
A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization. ACM Trans. Math. Softw. 42(2): 13:1-13:24 (2016) - [c26]Longfei Yan, Yi Mei, Hui Ma, Mengjie Zhang:
Evolutionary web service composition: A graph-based memetic algorithm. CEC 2016: 201-208 - [c25]Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang:
Many-objective genetic programming for job-shop scheduling. CEC 2016: 209-216 - [c24]Su Nguyen, Yi Mei, Hui Ma, Aaron Chen, Mengjie Zhang:
Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions. CEC 2016: 3053-3060 - [c23]Michael Riley, Yi Mei, Mengjie Zhang:
Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming. CEC 2016: 3362-3369 - [c22]Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang:
A memetic algorithm-based indirect approach to web service composition. CEC 2016: 3385-3392 - [c21]Yi Mei, Mengjie Zhang:
A comprehensive analysis on reusability of GP-evolved job shop dispatching rules. CEC 2016: 3590-3597 - [c20]John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, Mengjie Zhang:
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. EuroGP 2016: 115-132 - [c19]Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang:
Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition. EvoCOP 2016: 202-218 - [c18]Boxiong Tan, Yi Mei, Hui Ma, Mengjie Zhang:
Particle Swarm Optimization for Multi-Objective Web Service Location Allocation. EvoCOP 2016: 219-234 - [c17]John Park, Yi Mei, Gang Chen, Mengjie Zhang:
Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics. GECCO (Companion) 2016: 109-110 - [c16]Yi Mei, Mengjie Zhang, Su Nguyen:
Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming. GECCO 2016: 365-372 - [c15]Yi Mei, Bing Xue, Mengjie Zhang:
Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference. GECCO 2016: 469-476 - [c14]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 195-210 - 2015
- [c13]Yi Mei, Xiaodong Li, Flora D. Salim, Xin Yao:
Heuristic evolution with Genetic Programming for Traveling Thief Problem. CEC 2015: 2753-2760 - [c12]Jing Xie, Yi Mei, Andreas T. Ernst, Xiaodong Li, Andy Song:
A Restricted Neighbourhood Tabu Search for Storage Location Assignment Problem. CEC 2015: 2805-2812 - [c11]Jing Xie, Yi Mei, Andy Song:
Evolving Self-Adaptive Tabu Search Algorithm for Storage Location Assignment Problems. GECCO (Companion) 2015: 779-780 - 2014
- [j6]Mohammad Nabi Omidvar, Xiaodong Li, Yi Mei, Xin Yao:
Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization. IEEE Trans. Evol. Comput. 18(3): 378-393 (2014) - [j5]Yi Mei, Xiaodong Li, Xin Yao:
Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 18(3): 435-449 (2014) - [c10]Mohammad Nabi Omidvar, Yi Mei, Xiaodong Li:
Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms. IEEE Congress on Evolutionary Computation 2014: 1305-1312 - [c9]Yi Mei, Xiaodong Li, Xin Yao:
Variable neighborhood decomposition for Large Scale Capacitated Arc Routing Problem. IEEE Congress on Evolutionary Computation 2014: 1313-1320 - [c8]Jing Xie, Yi Mei, Andreas T. Ernst, Xiaodong Li, Andy Song:
A genetic programming-based hyper-heuristic approach for storage location assignment problem. IEEE Congress on Evolutionary Computation 2014: 3000-3007 - [c7]Yi Mei, Xiaodong Li, Xin Yao:
Improving Efficiency of Heuristics for the Large Scale Traveling Thief Problem. SEAL 2014: 631-643 - [c6]Jing Xie, Yi Mei, Andreas T. Ernst, Xiaodong Li, Andy Song:
Scaling Up Solutions to Storage Location Assignment Problems by Genetic Programming. SEAL 2014: 691-702 - 2013
- [c5]Yi Mei, Xiaodong Li, Xin Yao:
Decomposing Large-Scale Capacitated Arc Routing Problems using a random route grouping method. IEEE Congress on Evolutionary Computation 2013: 1013-1020 - 2011
- [j4]Yi Mei, Ke Tang, Xin Yao:
Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 15(2): 151-165 (2011) - [j3]Yi Mei, K. Tang, Xin Yao:
A Memetic Algorithm for Periodic Capacitated Arc Routing Problem. IEEE Trans. Syst. Man Cybern. Part B 41(6): 1654-1667 (2011) - [c4]Elaine Wah, Yi Mei, Benjamin W. Wah:
Portfolio Optimization through Data Conditioning and Aggregation. ICTAI 2011: 253-260 - 2010
- [c3]Haobo Fu, Yi Mei, Ke Tang, Yanbo Zhu:
Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c2]Yi Mei, Ke Tang, Xin Yao:
Capacitated arc routing problem in uncertain environments. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [j2]Ke Tang, Yi Mei, Xin Yao:
Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 13(5): 1151-1166 (2009) - [j1]Yi Mei, Ke Tang, Xin Yao:
A Global Repair Operator for Capacitated Arc Routing Problem. IEEE Trans. Syst. Man Cybern. Part B 39(3): 723-734 (2009) - [c1]Yi Mei, Ke Tang, Xin Yao:
Improved memetic algorithm for Capacitated Arc Routing Problem. IEEE Congress on Evolutionary Computation 2009: 1699-1706
Coauthor Index
[j71] [j70] [j68] [j67] [j65] [j64] [j62] [j61] [c151] [c150] [c148] [c147] [c143] [c142] [c141] [i9] [i7] [j57] [j56] [j55] [j54] [j53] [j52] [j50] [j49] [j48] [c140] [c138] [c135] [c134] [c131] [c130] [c129] [j45] [j44] [j42] [j40] [j39] [j37] [j36] [j35] [c125] [c124] [c122] [c121] [c120] [c119] [c118] [c117] [c116] [c115] [c114] [c112] [c111] [c109] [c107] [b1] [j32] [j29] [j28] [j27] [j26] [c106] [c105] [c103] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c93] [p1] [j25] [j24] [j22] [c91] [c89] [c88] [c85] [c84] [c83] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [j21] [c72] [c71] [c70] [c68] [c67] [c65] [c64] [c63] [c62] [c61] [c59] [c58] [c57] [i2] [j20] [j19] [j18] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [j12] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-23 19:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
