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Diego Oliva
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2020 – today
- 2024
- [j115]Israel Miguel-Andrés, Jorge Ramos-Frutos, Marwa Sharawi, Diego Oliva, Elivier Reyes-Dávila, Ángel Casas-Ordaz, Marco Pérez-Cisneros, Saúl Zapotecas Martínez:
Wrapper-Based Feature Selection to Classify Flatfoot Disease. IEEE Access 12: 22433-22447 (2024) - [j114]Erick Rodríguez-Esparza, Oscar Ramos-Soto, Antonio D. Masegosa, Enrique Onieva, Diego Oliva, Ander Arriandiaga, Arka Ghosh:
Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation. IEEE Access 12: 29503-29524 (2024) - [j113]Kanak Kalita, Narayanan Ganesh, Rama Chandran Narayanan, Pradeep Jangir, Diego Oliva, Marco Pérez-Cisneros:
Multi-Objective Water Strider Algorithm for Complex Structural Optimization: A Comprehensive Performance Analysis. IEEE Access 12: 55157-55183 (2024) - [j112]Israel Miguel-Andrés, Jorge Ramos-Frutos, Marwa Sharawi, Diego Oliva, Elivier Reyes-Dávila, Ángel Casas-Ordaz, Marco Pérez-Cisneros, Saúl Zapotecas Martínez:
Corrections to "Wrapper-Based Feature Selection to Classify Flatfoot Disease". IEEE Access 12: 158877 (2024) - [j111]Jorge Ramos-Frutos, Israel Miguel-Andrés, Diego Oliva, Marco Pérez-Cisneros, Teresa Alonso-Rasgado, Colin G. Bailey, José Francisco del Valle-Mojica:
Digital Image Processing Applied in the Deformation Analysis of Hip Prosthesis: Multivariate Regression Analysis. IEEE Access 12: 176938-176948 (2024) - [j110]Abubakar Bala, Rahimi Zaman Jusoh A. Rashid, Idris Ismail, Diego Oliva, Noryanti Muhammad, Sadiq M. Sait, Khaled Abdul-Aziz Al-Utaibi, Temitope Ibrahim Amosa, Kamran Ali Memon:
Artificial intelligence and edge computing for machine maintenance-review. Artif. Intell. Rev. 57(5): 119 (2024) - [j109]Mabrouka Salmi, Dalia Atif, Diego Oliva, Ajith Abraham, Sebastián Ventura:
Handling imbalanced medical datasets: review of a decade of research. Artif. Intell. Rev. 57(10): 273 (2024) - [j108]Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra, Leonardo Ramos Rodrigues, Diego Oliva:
An improved binary grey wolf optimizer for constrained engineering design problems. Expert Syst. J. Knowl. Eng. 41(1) (2024) - [j107]Erick Rodríguez-Esparza, Antonio D. Masegosa, Diego Oliva, Enrique Onieva:
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem. Expert Syst. Appl. 252: 124197 (2024) - [j106]Luis A. Beltran, Mario A. Navarro, Diego Oliva, Diego Campos-Peña, Jorge Ramos-Frutos, Saúl Zapotecas Martínez:
Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization. Expert Syst. Appl. 254: 124400 (2024) - [j105]Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Diego Oliva, Mario A. Navarro, Arturo Valdivia, Essam H. Houssein:
Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach. Knowl. Based Syst. 294: 111784 (2024) - [j104]Jorge Ramos-Frutos, Israel Miguel-Andrés, Diego Oliva, Ángel Casas-Ordaz:
Improving the estimation of distribution algorithm with a differential mutation for multilevel thresholding image segmentation. Int. J. Mach. Learn. Cybern. 15(10): 4255-4323 (2024) - [j103]Somnath Chatterjee, Debyarati Saha, Shibaprasad Sen, Diego Oliva, Ram Sarkar:
Moth-flame optimization based deep feature selection for facial expression recognition using thermal images. Multim. Tools Appl. 83(4): 11299-11322 (2024) - [j102]Laith Abualigah, Diego Oliva, Heming Jia, Faiza Gul, Nima Khodadadi, Abdelazim G. Hussien, Mohammad Al-Shinwan, Absalom E. Ezugwu, Belal Abuhaija, Raed Abu Zitar:
Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems. Multim. Tools Appl. 83(11): 32613-32653 (2024) - [j101]Laith Abualigah, Mohammed Abdulaziz Aide Al-qaness, Mohamed E. Abd Elaziz, Ahmed A. Ewees, Diego Oliva, Thanh Cuong-Le:
The non-monopolize search (NO): a novel single-based local search optimization algorithm. Neural Comput. Appl. 36(10): 5305-5332 (2024) - [j100]Essam H. Houssein, Mosa E. Hosney, Marwa M. Emam, Diego Oliva, Eman M. G. Younis, Abdelmgeid A. Ali, Waleed M. Mohamed:
Optimizing feedforward neural networks using a modified weighted mean of vectors: Case study chemical datasets. Swarm Evol. Comput. 89: 101656 (2024) - [j99]Taymaz Akan, Diego Oliva, Ali-Reza Feizi-Derakhshi, Amir-Reza Feizi-Derakhshi, Marco Pérez-Cisneros, Mohammad Alfrad Nobel Bhuiyan:
Battle royale optimizer for multilevel image thresholding. J. Supercomput. 80(4): 5298-5340 (2024) - [j98]Rohit Kundu, Soumitri Chattopadhyay, Sayan Nag, Mario A. Navarro, Diego Oliva:
Prism refraction search: a novel physics-based metaheuristic algorithm. J. Supercomput. 80(8): 10746-10795 (2024) - [j97]Madhuri Husan Badole, Anuradha D. Thakare, Diego Oliva:
An Improved Multi-objective Optimization Framework with a Hybrid Model for Vehicular Adhoc Network Routing Services. Wirel. Pers. Commun. 138(1): 1-28 (2024) - [c40]Arturo Valdivia, Itzel Aranguren, Jorge Ramos-Frutos, Ángel Casas-Ordaz, Diego Oliva, Saúl Zapotecas Martínez:
Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy. MIC (2) 2024: 279-291 - [c39]Mario A. Navarro, Ángel Casas-Ordaz, Beatriz A. Rivera-Aguilar, Bernardo Morales-Castañeda, Diego Oliva:
Population of Hyperparametric Solutions for the Design of Metaheuristic Algorithms: An Empirical Analysis of Performance in Particle Swarm Optimization. MIC (2) 2024: 292-305 - [c38]Oscar Ramos-Soto, Ángel Casas-Ordaz, Diego Oliva, Sandra E. Balderas-Mata, Saúl Zapotecas Martínez:
Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising. CBMS 2024: 332-337 - [c37]Ayush Roy, Anurag Bhattacharjee, Diego Oliva, Oscar Ramos-Soto, Francisco J. Alvarez-Padilla, Ram Sarkar:
FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays. CBMS 2024: 338-343 - [c36]Ángel Casas-Ordaz, Arturo Valdivia, Eduardo H. Haro, Diego Oliva, Luis A. Beltran, Itzel Aranguren, Erick Rodríguez-Esparza, Diego Campos-Peña:
IDEL: An Improved Differential Evolution with Lissajous Mutation. CEC 2024: 1-8 - [c35]Seyed Jalaleddin Mousavirad, Diego Oliva, Gerald Schaefer, Mahshid Helali Moghadam, Mohammed El-Abd:
A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks. EvoApplications@EvoStar 2024: 259-272 - [i11]Ayush Roy, Anurag Bhattacharjee, Diego Oliva, Oscar Ramos-Soto, Francisco J. Alvarez-Padilla, Ram Sarkar:
FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays. CoRR abs/2406.15117 (2024) - [i10]Ezequiel Perez-Zarate, Oscar Ramos-Soto, Diego Oliva, Marco Pérez-Cisneros:
ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement. CoRR abs/2407.19708 (2024) - 2023
- [j96]Mohamed Abd Elaziz, Abdelghani Dahou, Mohammed Azmi Al-Betar, Shaker H. Ali El-Sappagh, Diego Oliva, Ahmad O. Aseeri:
Quantum Artificial Hummingbird Algorithm for Feature Selection of Social IoT. IEEE Access 11: 66257-66278 (2023) - [j95]Angel A. Juan, Peter B. Keenan, Rafael Martí, Seán McGarraghy, Javier Panadero, Paula Carroll, Diego Oliva:
A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics. Ann. Oper. Res. 320(2): 831-861 (2023) - [j94]Santwana S. Gudadhe, Anuradha D. Thakare, Diego Oliva:
Classification of intracranial hemorrhage CT images based on texture analysis using ensemble-based machine learning algorithms: A comparative study. Biomed. Signal Process. Control. 84: 104832 (2023) - [j93]Essam H. Houssein, Diego Oliva, Nagwan M. Abdel Samee, Noha F. Mahmoud, Marwa M. Emam:
Liver Cancer Algorithm: A novel bio-inspired optimizer. Comput. Biol. Medicine 165: 107389 (2023) - [j92]Essam H. Houssein, Diego Oliva, Emre Çelik, Marwa M. Emam, Rania M. Ghoniem:
Boosted sooty tern optimization algorithm for global optimization and feature selection. Expert Syst. Appl. 213(Part): 119015 (2023) - [j91]S. Priyanka, Diego Oliva, Kethepalli Mallikarjuna, M. S. Sudhakar:
l-shaped geometry-based pattern descriptor serving shape retrieval. Expert Syst. Appl. 213(Part): 119260 (2023) - [j90]Benedict Jun Ma, João Luiz Junho Pereira, Diego Oliva, Shuai Liu, Yong-Hong Kuo:
Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement. Knowl. Based Syst. 262: 110247 (2023) - [j89]Essam H. Houssein, Mosa E. Hosney, Diego Oliva, Eman M. G. Younis, Abdelmgeid A. Ali, Waleed M. Mohamed:
An efficient discrete rat swarm optimizer for global optimization and feature selection in chemoinformatics. Knowl. Based Syst. 275: 110697 (2023) - [j88]Simrandeep Singh, Nitin Mittal, Harbinder Singh, Diego Oliva:
Improving the segmentation of digital images by using a modified Otsu's between-class variance. Multim. Tools Appl. 82(26): 40701-40743 (2023) - [j87]Diego Oliva, Noé Ortega-Sánchez, Mario A. Navarro, Alfonso Ramos-Michel, Mohammed El-Abd, Seyed Jalaleddin Mousavirad, Mohammad H. Nadimi-Shahraki:
Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm. Multim. Tools Appl. 82(29): 44911-44941 (2023) - [j86]Ahmed A. Ewees, Mohammed Abdulaziz Aide Al-qaness, Laith Abualigah, Zakariya Yahya Algamal, Diego Oliva, Dalia Yousri, Mohamed Abd Elaziz:
Enhanced feature selection technique using slime mould algorithm: a case study on chemical data. Neural Comput. Appl. 35(4): 3307-3324 (2023) - [j85]Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Mahdi Pedram, Gerald Schaefer, Diego Oliva:
Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems. New Gener. Comput. 41(2): 225-242 (2023) - [j84]Jorge Ramos-Frutos, Israel Miguel-Andrés, Diego Oliva:
Algoritmo de estimación de distribuciones para la segmentación de imágenes por umbralización multinivel. Res. Comput. Sci. 152(8): 185-198 (2023) - [j83]Nguyen Van Thieu, Diego Oliva, Marco Pérez-Cisneros:
MetaCluster: An open-source Python library for metaheuristic-based clustering problems. SoftwareX 24: 101597 (2023) - [j82]Ángel Casas-Ordaz, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Marco Antonio Pérez Cisneros:
An improved opposition-based Runge Kutta optimizer for multilevel image thresholding. J. Supercomput. 79(15): 17247-17354 (2023) - [c34]Bernardo Morales-Castañeda, Diego Oliva, Ángel Casas-Ordaz, Arturo Valdivia, Mario A. Navarro, Alfonso Ramos-Michel, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad:
A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization. CEC 2023: 1-8 - [c33]Bernardo Morales-Castañeda, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad:
Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. CEC 2023: 1-8 - [c32]Mario A. Navarro, Bernardo Morales-Castañeda, Alfonso Ramos-Michel, Diego Oliva, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza:
An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization. CEC 2023: 1-8 - [c31]Sahar Rahmani, Seyed Jalaleddin Mousavirad, Mohammed El-Abd, Gerald Schaefer, Diego Oliva:
Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training. EvoApplications@EvoStar 2023: 608-622 - [c30]Laritza Pérez-Enríquez, Saúl Zapotecas Martínez, Diego Oliva, Leopoldo Altamirano Robles:
Hyperbolic Tangent Sigmoid as a Transformation Function for Image Contrast Enhancement. SSCI 2023: 282-287 - [c29]Alfonso Ramos-Michel, Mario A. Navarro, Diego Oliva, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Arturo Valdivia, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad:
Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution. SSCI 2023: 1547-1552 - [i9]Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Diego Oliva, Fardin Mohammadi:
A Novel Plagiarism Detection Approach Combining BERT-based Word Embedding, Attention-based LSTMs and an Improved Differential Evolution Algorithm. CoRR abs/2305.02374 (2023) - 2022
- [j81]Prachi Agrawal, Talari Ganesh, Diego Oliva, Ali Wagdy Mohamed:
S-shaped and V-shaped gaining-sharing knowledge-based algorithm for feature selection. Appl. Intell. 52(1): 81-112 (2022) - [j80]Angel Gaspar, Diego Oliva, Salvador Hinojosa, Itzel Aranguren, Daniel Zaldivar:
An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images. Appl. Soft Comput. 120: 108654 (2022) - [j79]Essam H. Houssein, Bahaa El-din Helmy, Diego Oliva, Pradeep Jangir, M. Premkumar, Ahmed A. Elngar, Hassan Shaban:
An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer. Biomed. Signal Process. Control. 73: 103401 (2022) - [j78]Somnath Chatterjee, Shreya Biswas, Arindam Majee, Shibaprasad Sen, Diego Oliva, Ram Sarkar:
Breast cancer detection from thermal images using a Grunwald-Letnikov-aided Dragonfly algorithm-based deep feature selection method. Comput. Biol. Medicine 141: 105027 (2022) - [j77]Soham Chattopadhyay, Arijit Dey, Pawan Kumar Singh, Diego Oliva, Erik Cuevas, Ram Sarkar:
MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images. Comput. Biol. Medicine 150: 106155 (2022) - [j76]Shreyan Ganguly, Pratik Bhowal, Diego Oliva, Ram Sarkar:
BLeafNet: A Bonferroni mean operator based fusion of CNN models for plant identification using leaf image classification. Ecol. Informatics 69: 101585 (2022) - [j75]Seyed Jalaleddin Mousavirad, Davood Zabihzadeh, Diego Oliva, Marco Antonio Pérez Cisneros, Gerald Schaefer:
A Grouping Differential Evolution Algorithm Boosted by Attraction and Repulsion Strategies for Masi Entropy-Based Multi-Level Image Segmentation. Entropy 24(1): 8 (2022) - [j74]Ismel Martínez-Díaz, Carlos Miguel Legón-Pérez, Omar Rojas, Guillermo Sosa Gómez, Diego Oliva:
Local Search Trajectories over S-box space. J. Inf. Secur. Appl. 69: 103272 (2022) - [j73]Dalia Yousri, Mohamed Abd Elaziz, Diego Oliva, Ajith Abraham, Majed A. Alotaibi, Md. Alamgir Hossain:
Fractional-order comprehensive learning marine predators algorithm for global optimization and feature selection. Knowl. Based Syst. 235: 107603 (2022) - [j72]Seyed Jalaleddin Mousavirad, Diego Oliva, Ripon K. Chakrabortty, Davood Zabihzadeh, Salvador Hinojosa:
Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation. Knowl. Based Syst. 245: 108610 (2022) - [j71]Mario A. Navarro, Diego Oliva, Alfonso Ramos-Michel, Daniel Zaldivar, Bernardo Morales-Castañeda, Marco Antonio Pérez Cisneros, Arturo Valdivia, Huiling Chen:
An improved multi-population whale optimization algorithm. Int. J. Mach. Learn. Cybern. 13(9): 2447-2478 (2022) - [j70]Diego Oliva, Marcella S. R. Martins, Salvador Hinojosa, Mohamed E. Abd Elaziz, Paulo Victor dos Santos, Gelson da Cruz, Seyed Jalaleddin Mousavirad:
A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization. Int. J. Mach. Learn. Cybern. 13(12): 3743-3772 (2022) - [j69]Itzel Aranguren, Arturo Valdivia, Marco Antonio Pérez Cisneros, Diego Oliva, Valentín Osuna-Enciso:
Digital image thresholding by using a lateral inhibition 2D histogram and a Mutated Electromagnetic Field Optimization. Multim. Tools Appl. 81(7): 10023-10049 (2022) - [j68]Noé Ortega-Sánchez, Erick Rodríguez-Esparza, Diego Oliva, Marco Antonio Pérez Cisneros, Ali Wagdy Mohamed, Gaurav Dhiman, Rosaura Hernández-Montelongo:
Identification of apple diseases in digital images by using the Gaining-sharing knowledge-based algorithm for multilevel thresholding. Soft Comput. 26(5): 2587-2623 (2022) - [j67]Ali Hussain Khan, Shameem Ahmed, Suman Kumar Bera, Seyedali Mirjalili, Diego Oliva, Ram Sarkar:
Enhancing the contrast of the grey-scale image based on meta-heuristic optimization algorithm. Soft Comput. 26(13): 6293-6315 (2022) - [c28]Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Mario A. Navarro, Itzel Aranguren, Arturo Valdivia, Alfonso Ramos-Michel, Diego Oliva, Salvador Hinojosa:
Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms. CEC 2022: 1-7 - [c27]Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Diego Oliva, Gerald Schaefer, Zahra Sobhaninia:
An Improved DE Algorithm to Optimise the Learning Process of a BERT-based Plagiarism Detection Model. CEC 2022: 1-7 - [c26]Mario A. Navarro, Alfonso Ramos-Michel, Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Itzel Aranguren, Arturo Valdivia, Diego Oliva, Seyed Jalaleddin Mousavirad:
Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms. CEC 2022: 1-8 - [c25]Mario A. Navarro, Alfonso Ramos-Michel, Angel Gaspar, Diego Oliva, Salvador Hinojosa, Seyed Jalaleddin Mousavirad, Marco Antonio Pérez Cisneros:
Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion. EvoApplications 2022: 157-172 - [c24]Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand, Ripon K. Chakrabortty, Gerald Schaefer, Diego Oliva:
RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation. EvoApplications 2022: 255-268 - [i8]Erick Rodríguez-Esparza, Antonio D. Masegosa, Diego Oliva, Enrique Onieva:
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem. CoRR abs/2206.03185 (2022) - 2021
- [j66]Alaa A. K. Ismaeel, Essam H. Houssein, Diego Oliva, Mokhtar Said:
Gradient-Based Optimizer for Parameter Extraction in Photovoltaic Models. IEEE Access 9: 13403-13416 (2021) - [j65]Ahmed M. Anter, Diego Oliva, Anuradha D. Thakare, Zhiguo Zhang:
AFCM-LSMA: New intelligent model based on Lévy slime mould algorithm and adaptive fuzzy C-means for identification of COVID-19 infection from chest X-ray images. Adv. Eng. Informatics 49: 101317 (2021) - [j64]Dalia Yousri, Mohamed Abd El Aziz, Laith Mohammad Abualigah, Diego Oliva, Mohammed Abdulaziz Aide Al-qaness, Ahmed A. Ewees:
COVID-19 X-ray images classification based on enhanced fractional-order cuckoo search optimizer using heavy-tailed distributions. Appl. Soft Comput. 101: 107052 (2021) - [j63]Mohamed E. Abd Elaziz, Davood Mohammadi, Diego Oliva, Khodakaram Salimifard:
Quantum marine predators algorithm for addressing multilevel image segmentation. Appl. Soft Comput. 110: 107598 (2021) - [j62]Itzel Aranguren, Arturo Valdivia, Bernardo Morales-Castañeda, Diego Oliva, Mohamed E. Abd Elaziz, Marco Antonio Pérez Cisneros:
Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm. Biomed. Signal Process. Control. 64: 102259 (2021) - [j61]Mihailo Micev, Martin P. Calasan, Diego Oliva:
Design and robustness analysis of an Automatic Voltage Regulator system controller by using Equilibrium Optimizer algorithm. Comput. Electr. Eng. 89: 106930 (2021) - [j60]Oscar Ramos-Soto, Erick Rodríguez-Esparza, Sandra E. Balderas-Mata, Diego Oliva, Aboul Ella Hassanien, Ratheesh Kumar Meleppat, Robert J. Zawadzki:
An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering. Comput. Methods Programs Biomed. 201: 105949 (2021) - [j59]Ahmed A. Ewees, Mohamed E. Abd Elaziz, Diego Oliva:
A new multi-objective optimization algorithm combined with opposition-based learning. Expert Syst. Appl. 165: 113844 (2021) - [j58]Dong Zhao, Lei Liu, Fanhua Yu, Ali Asghar Heidari, Mingjing Wang, Diego Oliva, Khan Muhammad, Huiling Chen:
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation. Expert Syst. Appl. 167: 114122 (2021) - [j57]Essam H. Houssein, Bahaa El-din Helmy, Diego Oliva, Ahmed A. Elngar, Hassan Shaban:
A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation. Expert Syst. Appl. 167: 114159 (2021) - [j56]Diego Oliva, Sara Esquivel-Torres, Salvador Hinojosa, Marco Antonio Pérez Cisneros, Valentín Osuna-Enciso, Noé Ortega-Sánchez, Gaurav Dhiman, Ali Asghar Heidari:
Opposition-based moth swarm algorithm. Expert Syst. Appl. 184: 115481 (2021) - [j55]Gaurav Dhiman, Diego Oliva, Amandeep Kaur, Krishna Kant Singh, S. Vimal, Ashutosh Sharma, Korhan Cengiz:
BEPO: A novel binary emperor penguin optimizer for automatic feature selection. Knowl. Based Syst. 211: 106560 (2021) - [j54]Rajarshi Bandyopadhyay, Rohit Kundu, Diego Oliva, Ram Sarkar:
Segmentation of brain MRI using an altruistic Harris Hawks' Optimization algorithm. Knowl. Based Syst. 232: 107468 (2021) - [j53]Andrea H. del Río, Itzel Aranguren, Diego Oliva, Mohamed E. Abd Elaziz, Erik Cuevas:
Efficient image segmentation through 2D histograms and an improved owl search algorithm. Int. J. Mach. Learn. Cybern. 12(1): 131-150 (2021) - [j52]Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Diego Oliva, Markus Wagner, Inkyung Sung, Mohamed El Yafrani:
Saving computational budget in Bayesian network-based evolutionary algorithms. Nat. Comput. 20(4): 775-790 (2021) - [j51]Navid Akbarpour, Seyyed Amir Hossein Salehi Amiri, Mostafa Hajiaghaei-Keshteli, Diego Oliva:
An innovative waste management system in a smart city under stochastic optimization using vehicle routing problem. Soft Comput. 25(8): 6707-6727 (2021) - [c23]Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer:
Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning. CEC 2021: 1233-1240 - [c22]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva:
RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks. EvoApplications 2021: 407-420 - [c21]Marcella Scoczynski Ribeiro Martins, Diego Oliva, Erick Rodríguez-Esparza, Myriam Regattieri Delgado, Ricardo Lüders, Mohamed El Yafrani, Luiz Ledo, Mohamed E. Abd Elaziz, Marco Antonio Pérez Cisneros:
A selection hyperheuristic guided by Thompson sampling for numerical optimization. GECCO Companion 2021: 1394-1402 - [c20]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Diego Oliva, Salvador Hinojosa:
HCS-BBD: an effective population-based approach for multi-level thresholding. GECCO Companion 2021: 1923-1930 - [c19]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand:
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. SSCI 2021: 1-7 - [i7]Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer:
Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning. CoRR abs/2106.15392 (2021) - [i6]Rajarshi Bandyopadhyay, Rohit Kundu, Diego Oliva, Ram Sarkar:
Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm. CoRR abs/2109.08688 (2021) - [i5]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand:
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. CoRR abs/2111.10188 (2021) - 2020
- [j50]Abubakar Bala, Idris Ismail, Rosdiazli Ibrahim, Sadiq M. Sait, Diego Oliva:
An Improved Grasshopper Optimization Algorithm Based Echo State Network for Predicting Faults in Airplane Engines. IEEE Access 8: 159773-159789 (2020) - [j49]Diego Oliva, Marcella S. R. Martins, Valentín Osuna-Enciso, Erikson Freitas de Morais:
Combining information from thresholding techniques through an evolutionary Bayesian network algorithm. Appl. Soft Comput. 90: 106147 (2020) - [j48]Rehab Ali Ibrahim, Mohamed Abd El Aziz, Diego Oliva, Songfeng Lu:
An improved runner-root algorithm for solving feature selection problems based on rough sets and neighborhood rough sets. Appl. Soft Comput. 97(Part B): 105517 (2020) - [j47]Essam H. Houssein, Mosa E. Hosney, Diego Oliva, Waleed M. Mohamed, M. Hassaballah:
A novel hybrid Harris hawks optimization and support vector machines for drug design and discovery. Comput. Chem. Eng. 133 (2020) - [j46]Husein S. Naji Alwerfali, Mohammed Abdulaziz Aide Al-qaness, Mohamed E. Abd Elaziz, Ahmed A. Ewees, Diego Oliva, Songfeng Lu:
Multi-Level Image Thresholding Based on Modified Spherical Search Optimizer and Fuzzy Entropy. Entropy 22(3): 328 (2020) - [j45]Isaac López-López, Guillermo Sosa Gómez, Carlos Segura, Diego Oliva, Omar Rojas:
Metaheuristics in the Optimization of Cryptographic Boolean Functions. Entropy 22(9): 1052 (2020) - [j44]Mohamed E. Abd Elaziz, Ahmed A. Ewees, Diego Oliva:
Hyper-heuristic method for multilevel thresholding image segmentation. Expert Syst. Appl. 146: 113201 (2020) - [j43]Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Ali Asghar Heidari, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Loke Kok Foong:
An efficient Harris hawks-inspired image segmentation method. Expert Syst. Appl. 155: 113428 (2020) - [j42]Redouane Boudjemaa, Diego Oliva, Fatima Ouaar:
Fractional Lévy flight bat algorithm for global optimisation. Int. J. Bio Inspired Comput. 15(2): 100-112 (2020) - [j41]Mohamed Elhoseny, Diego Oliva, Valentín Osuna-Enciso, Aboul Ella Hassanien, Gunasekaran Manogaran:
Parameter identification of two dimensional digital filters using electro-magnetism optimization. Multim. Tools Appl. 79(7-8): 5005-5022 (2020) - [j40]Rizk Masoud Rizk-Allah, Aboul Ella Hassanien, Diego Oliva:
An enhanced sitting-sizing scheme for shunt capacitors in radial distribution systems using improved atom search optimization. Neural Comput. Appl. 32(17): 13971-13999 (2020) - [j39]Fabio Henrique Pereira, Francisco Elânio Bezerra, Diego Oliva, Gilberto Francisco Martha de Souza, Ivan Eduardo Chabu, Josemir Coelho Santos, Shigueru Nagao Junior, Sílvio Ikuyo Nabeta:
Forecast Model Update Based on a Real-Time Data Processing Lambda Architecture for Estimating Partial Discharges in Hydrogenerator. Sensors 20(24): 7242 (2020) - [j38]Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Reducing overlapped pixels: a multi-objective color thresholding approach. Soft Comput. 24(9): 6787-6807 (2020) - [j37]Oscar Maciel-Castillo, Arturo Valdivia, Diego Oliva, Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
A novel hybrid metaheuristic optimization method: hypercube natural aggregation algorithm. Soft Comput. 24(12): 8823-8856 (2020) - [j36]Diego Oliva, Mohamed E. Abd Elaziz:
An improved brainstorm optimization using chaotic opposite-based learning with disruption operator for global optimization and feature selection. Soft Comput. 24(18): 14051-14072 (2020) - [j35]Mohamed E. Abd Elaziz, Uddalok Sarkar, Sayan Nag, Salvador Hinojosa, Diego Oliva:
Improving image thresholding by the type II fuzzy entropy and a hybrid optimization algorithm. Soft Comput. 24(19): 14885-14905 (2020) - [c18]Atrab A. Abd El-aziz, Ashraf Darwish, Diego Oliva, Aboul Ella Hassanien:
Machine Learning for Apple Fruit Diseases Classification System. AICV 2020: 16-25 - [c17]Mohamed A. El-Dosuky, Diego Oliva, Aboul Ella Hassanien:
An Artificial Intelligence System for Apple Fruit Disease Classification Based on Support Vector Machine and Cockroach Swarm Optimization. AICV 2020: 137-147 - [c16]Humberto Garcia, Alberto Ochoa-Zezzatti, Abraham Martínez-Retamoza, Gilberto Ochoa, Lina Aguilar, Diego Oliva, José Mejía:
Use of Deep Learning for Bird Detection to Reduction of Collateral Damage in Fruit Fields. AICV 2020: 381-392 - [c15]Diego Oliva, Erick Rodríguez-Esparza, Marcella S. R. Martins, Mohamed E. Abd Elaziz, Salvador Hinojosa, Ahmed A. Ewees, Songfeng Lu:
Balancing the Influence of Evolutionary Operators for Global optimization. CEC 2020: 1-8 - [c14]Mohamed E. Abd Elaziz, Ahmed A. Ewees, Dalia Yousri, Diego Oliva, Songfeng Lu, Erik Cuevas:
A Competitive Swarm Algorithm for Image Segmentation Guided by Opposite Fuzzy Entropy. FUZZ-IEEE 2020: 1-8 - [c13]Sthefanie Monica Premebida, Denise Pechebovicz, Thiago Camargo, Henrique Nazário, Vinicios Soares, Virgínia H. V. Baroncini, Erikson Freitas de Morais, Hugo Siqueira, Diego Oliva, Marcella S. R. Martins:
Sunspot behavior forecast using neural networks approaches. ICIT 2020: 696-700 - [c12]Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Marco Pérez-Cisneros:
Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach. Computer-Aided Diagnosis 2020 - [e1]Aboul Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Diego Oliva, Mohamed Fahmy Tolba:
Proceedings of the International Conference on Artificial Intelligence and Computer Vision, AICV 2020, Cairo, Egypt, 8-10 April, 2020. Advances in Intelligent Systems and Computing 1153, Springer 2020, ISBN 978-3-030-44288-0 [contents]
2010 – 2019
- 2019
- [b4]Diego Oliva, Mohamed Abd El-Aziz, Salvador Hinojosa:
Metaheuristic Algorithms for Image Segmentation: Theory and Applications. Studies in Computational Intelligence 825, Springer 2019, ISBN 978-3-030-12930-9, pp. 1-226 - [j34]Omar Ávalos, Erik Valdemar Cuevas Jiménez, Arturo Valdivia-Gonzalez, Jorge Gálvez, Salvador Hinojosa, Daniel Zaldivar, Diego Oliva:
A Comparative Study of Evolutionary Computation Techniques for Solar Cells Parameter Estimation. Computación y Sistemas 23(1): 231 (2019) - [j33]Ahmed M. Anter, Aboul Ella Hassenian, Diego Oliva:
An improved fast fuzzy c-means using crow search optimization algorithm for crop identification in agricultural. Expert Syst. Appl. 118: 340-354 (2019) - [j32]Mohamed E. Abd Elaziz, Diego Oliva, Ahmed A. Ewees, Shengwu Xiong:
Multi-level thresholding-based grey scale image segmentation using multi-objective multi-verse optimizer. Expert Syst. Appl. 125: 112-129 (2019) - [j31]Rehab Ali Ibrahim, Ahmed A. Ewees, Diego Oliva, Mohamed Abd El Aziz, Songfeng Lu:
Improved salp swarm algorithm based on particle swarm optimization for feature selection. J. Ambient Intell. Humaniz. Comput. 10(8): 3155-3169 (2019) - [j30]Alberto Ochoa, César Velázquez, Juan Hernández, Silvia Husted, Diego Oliva, Anahí Solis, Héctor Herrera, José Mejía, Saúl González, Edna Cruz-Flores:
Aspectos innovadores de realidad virtual y sensores cinéticos para una mejora significativa utilizando el algoritmo de Fireworks para un juego Wii de un deporte colaborativo para una sociedad en una Smart City. Res. Comput. Sci. 148(8): 63-77 (2019) - [j29]Heming Jia, Xiaoxu Peng, Wenlong Song, Diego Oliva, Chunbo Lang, Yao Li:
Masi Entropy for Satellite Color Image Segmentation Using Tournament-Based Lévy Multiverse Optimization Algorithm. Remote. Sens. 11(8): 942 (2019) - [j28]Heming Jia, Chunbo Lang, Diego Oliva, Wenlong Song, Xiaoxu Peng:
Hybrid Grasshopper Optimization Algorithm and Differential Evolution for Multilevel Satellite Image Segmentation. Remote. Sens. 11(9): 1134 (2019) - [j27]Heming Jia, Chunbo Lang, Diego Oliva, Wenlong Song, Xiaoxu Peng:
Dynamic Harris Hawks Optimization with Mutation Mechanism for Satellite Image Segmentation. Remote. Sens. 11(12): 1421 (2019) - [j26]Diego Oliva, Salvador Hinojosa, Valentín Osuna-Enciso, Erik Cuevas, Marco Antonio Pérez Cisneros, Gildardo Sánchez-Ante:
Image segmentation by minimum cross entropy using evolutionary methods. Soft Comput. 23(2): 431-450 (2019) - [j25]Redouane Boudjemaa, Diego Oliva:
A multi-objective approach to weather radar network architecture. Soft Comput. 23(12): 4221-4238 (2019) - [j24]Rehab Ali Ibrahim, Mohamed Abd El-Aziz, Diego Oliva, Erik Cuevas, Songfeng Lu:
An opposition-based social spider optimization for feature selection. Soft Comput. 23(24): 13547-13567 (2019) - [j23]Diego Oliva, Sayan Nag, Mohamed E. Abd Elaziz, Uddalok Sarkar, Salvador Hinojosa:
Multilevel thresholding by fuzzy type II sets using evolutionary algorithms. Swarm Evol. Comput. 51 (2019) - [c11]Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Inkyung Sung, Markus Wagner, Diego Oliva:
On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm. BRACIS 2019: 311-316 - [c10]Diego Oliva, Marcella S. R. Martins:
A Bayesian based Hyper-Heuristic approach for global optimization. CEC 2019: 1766-1773 - [c9]Diego Oliva, Salvador Hinojosa, Marcella S. R. Martins, Erick Rodríguez-Esparza, Noé Ortega-Sánchez, Marco Antonio Pérez Cisneros:
Improving the estimation of parameters in induction motors using an evolutionary computation algorithm. LA-CCI 2019: 1-6 - [c8]Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Salvador Hinojosa, Marco Antonio Pérez Cisneros:
Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison. LA-CCI 2019: 1-6 - [c7]Mohamed E. Abd Elaziz, Songfeng Lu, Diego Oliva, Mohammed El-Abd:
Improved Moth-Flame Optimization Based on Opposition-Based Learning for Feature Selection. SSCI 2019: 3017-3024 - 2018
- [j22]Jorge Gálvez, Erik Cuevas, Omar Ávalos, Diego Oliva, Salvador Hinojosa:
Electromagnetism-like mechanism with collective animal behavior for multimodal optimization. Appl. Intell. 48(9): 2580-2612 (2018) - [j21]Valentín Osuna-Enciso, José Israel Espinoza Haro, Diego Oliva, Irán Fernando Hernández Ahuactzi:
Offshore Wind Farm Layout Optimization via Differential Evolution. Computación y Sistemas 22(3) (2018) - [j20]Mohamed Issa, Aboul Ella Hassanien, Diego Oliva, Ahmed Helmi, Ibrahim Ziedan, Ahmed Mansour Alzohairy:
ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment. Expert Syst. Appl. 99: 56-70 (2018) - [j19]Elsa Estrada, Ma. del Rocio Boone Rojas, Carlos Alberto Ochoa Ortíz Zezzatti, María Beatríz Bernábe Loranca, Diego Oliva, Victor M. Larios-Rosillo:
Smart City Visualization Tool for the Open Data Georeferenced Analysis Utilizing Machine Learning. Int. J. Comb. Optim. Probl. Informatics 9(2): 25-40 (2018) - [j18]Salvador Hinojosa, Krishna Gopal Dhal, Mohamed E. Abd Elaziz, Diego Oliva, Erik Cuevas:
Entropy-based imagery segmentation for breast histology using the Stochastic Fractal Search. Neurocomputing 321: 201-215 (2018) - [j17]Ahmed A. Ewees, Mohamed E. Abd Elaziz, Diego Oliva:
Image segmentation via multilevel thresholding using hybrid optimization algorithms. J. Electronic Imaging 27(06): 063008 (2018) - [j16]Salvador Hinojosa, Omar Ávalos, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Jorge Gálvez:
Unassisted thresholding based on multi-objective evolutionary algorithms. Knowl. Based Syst. 159: 221-232 (2018) - [j15]Diego Oliva, Salvador Hinojosa, Mohamed Abd El-Aziz, Noé Ortega-Sánchez:
Context based image segmentation using antlion optimization and sine cosine algorithm. Multim. Tools Appl. 77(19): 25761-25797 (2018) - [j14]Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez:
Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. Neural Comput. Appl. 29(8): 319-335 (2018) - [j13]Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez:
Correction to: Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. Neural Comput. Appl. 29(8): 337 (2018) - [c6]Salvador Hinojosa, Diego Oliva, Erik Cuevas, Marco Antonio Pérez Cisneros, Gonzalo Pajares:
Real-time video thresholding using evolutionary techniques and cross entropy. EAIS 2018: 1-8 - [c5]Roberto Contreras, Alberto Ochoa, Edgar Cossio, Vicente García, Diego Oliva, Raul Torres:
Design and Implementation of an IoT-Based Háptical Interface Implemented by Memetic Algorithms to Improve Competitiveness in an Industry 4.0 Model for the Manufacturing Sector. IBICA 2018: 103-117 - [c4]Salvador Hinojosa, Omar Ávalos, Jorge Gálvez, Diego Oliva, Erik Cuevas, Marco Antonio Pérez Cisneros:
Remote sensing imagery segmentation based on multi-objective optimization algorithms. LA-CCI 2018: 1-6 - [c3]Alberto Ochoa Ortíz, Diego Oliva:
Smart traffic management to support people with color blindness in a Smart City. LA-CCI 2018: 1-8 - 2017
- [b3]Diego Oliva, Erik Cuevas:
Advances and Applications of Optimised Algorithms in Image Processing. Intelligent Systems Reference Library 117, Springer 2017, ISBN 978-3-319-48549-2, pp. 1-178 - [b2]Erik Cuevas, Valentín Osuna-Enciso, Diego Oliva:
Evolutionary Computation Techniques: A Comparative Perspective. Studies in Computational Intelligence 686, Springer 2017, ISBN 978-3-319-51108-5, pp. 1-222 - [j12]Diego Oliva, Salvador Hinojosa, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez:
Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm. Expert Syst. Appl. 79: 164-180 (2017) - [j11]Mohamed Abd El-Aziz, Diego Oliva, Shengwu Xiong:
An improved Opposition-Based Sine Cosine Algorithm for global optimization. Expert Syst. Appl. 90: 484-500 (2017) - [j10]Yuliet Oliva-Romero, Alberto Ochoa-Zezzatti, Ana Marcela-Herrera, Diego Alberto Oliva Navarro:
Modelo innovador para un aparador comercial usando un algoritmo competitivo imperialista. Res. Comput. Sci. 134: 35-44 (2017) - [c2]Mohamed E. Abd Elaziz, Ahmed A. Ewees, Diego Oliva, Pengfei Duan, Shengwu Xiong:
A Hybrid Method of Sine Cosine Algorithm and Differential Evolution for Feature Selection. ICONIP (5) 2017: 145-155 - [c1]Rehab Ali Ibrahim, Diego Oliva, Ahmed A. Ewees, Songfeng Lu:
Feature Selection Based on Improved Runner-Root Algorithm Using Chaotic Singer Map and Opposition-Based Learning. ICONIP (5) 2017: 156-166 - 2016
- [b1]Erik Cuevas, Margarita-Arimatea Díaz-Cortés, Diego Alberto Oliva Navarro:
Advances of Evolutionary Computation: Methods and Operators. Studies in Computational Intelligence 629, Springer 2016, ISBN 978-3-319-28502-3 - [j9]Valentín Osuna-Enciso, Erik Cuevas, Diego Oliva, Virgilio Zúñiga, Marco Antonio Pérez Cisneros, Daniel Zaldivar:
A Multiobjective Approach to Homography Estimation. Comput. Intell. Neurosci. 2016: 3629174:1-3629174:12 (2016) - [j8]Valentín Osuna-Enciso, Erik Cuevas, Diego Oliva, Humberto Sossa, Marco Antonio Pérez Cisneros:
A bio-inspired evolutionary algorithm: allostatic optimisation. Int. J. Bio Inspired Comput. 8(3): 154-169 (2016) - 2015
- [j7]Diego Oliva, Valentín Osuna-Enciso, Erik Valdemar Cuevas Jiménez, Gonzalo Pajares, Marco Antonio Pérez Cisneros, Daniel Zaldivar:
Improving segmentation velocity using an evolutionary method. Expert Syst. Appl. 42(14): 5874-5886 (2015) - 2014
- [j6]Diego Oliva, Erik Valdemar Cuevas Jiménez, Gonzalo Pajares, Daniel Zaldivar:
Template matching using an improved electromagnetism-like algorithm. Appl. Intell. 41(3): 791-807 (2014) - [j5]Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Valentín Osuna-Enciso:
A Multilevel Thresholding algorithm using electromagnetism optimization. Neurocomputing 139: 357-381 (2014) - [i4]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Diego Oliva:
Block matching algorithm based on Differential Evolution for motion estimation. CoRR abs/1405.4721 (2014) - [i3]Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Gonzalo Pajares:
Opposition Based ElectromagnetismLike for Global Optimization. CoRR abs/1405.5172 (2014) - [i2]Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Humberto Sossa:
Circle detection using electro-magnetism optimization. CoRR abs/1406.0023 (2014) - [i1]Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Valentín Osuna-Enciso:
A multilevel thresholding algorithm using Electromagnetism Optimization. CoRR abs/1406.6336 (2014) - 2013
- [j4]Erik Cuevas, Diego Oliva, Margarita Díaz, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Gonzalo Pajares:
White Blood Cell Segmentation by Circle Detection Using Electromagnetism-Like Optimization. Comput. Math. Methods Medicine 2013: 395071:1-395071:15 (2013) - [j3]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Diego Oliva:
Block-matching algorithm based on differential evolution for motion estimation. Eng. Appl. Artif. Intell. 26(1): 488-498 (2013) - [j2]Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Multilevel Thresholding Segmentation Based on Harmony Search Optimization. J. Appl. Math. 2013: 575414:1-575414:24 (2013) - [p1]Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Raúl Rojas:
Circle Detection Algorithm Based on Electromagnetism-Like Optimization. Handbook of Optimization 2013: 907-934 - 2012
- [j1]Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Humberto Sossa:
Circle detection using electro-magnetism optimization. Inf. Sci. 182(1): 40-55 (2012)
Coauthor Index
aka: Marco Pérez-Cisneros
aka: Mohamed Abd El Aziz 0001
aka: Mohamed Abd El-Aziz 0001
aka: Mohamed Abd Elaziz 0001
aka: Erik Cuevas
aka: Marcella Scoczynski Ribeiro Martins
aka: Arturo Valdivia-Gonzalez
aka: Alberto Ochoa Ortíz
aka: Alberto Ochoa-Zezzatti
aka: Alberto Ochoa 0002
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