Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (GECCO, 2008)

A Proposal to Hybridize Multi-Objective Evolutionary Algorithms with Non-gradient Mathematical Programming Techniques. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (PPSN, 2008)

An archiving strategy based on the Convex Hull of Individual Minima for MOEAs. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (IEEE Congress on Evolutionary Computation, 2010)

A multi-objective meta-model assisted memetic algorithm with non gradient-based local search. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (GECCO, 2010)

A novel diversification strategy for multi-objective evolutionary algorithms. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (GECCO (Companion), 2010)

A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (PPSN (1), 2010)

A nonlinear simplex search approach for multi-objective optimization. - Saúl Zapotecas Martínez; Alfredo Arias Montaño; Carlos A. Coello Coello (IEEE Congress on Evolutionary Computation, 2011)

A multi-objective particle swarm optimizer based on decomposition. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (GECCO, 2011)

Swarm intelligence guided by multi-objective mathematical programming techniques. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (GECCO (Companion), 2011)

Self-adaptation Techniques Applied to Multi-Objective Evolutionary Algorithms. - Saúl Zapotecas Martínez; Edgar G. Yáñez Oropeza; Carlos A. Coello Coello (LION, 2011)

A direct local search mechanism for decomposition-based multi-objective evolutionary algorithms. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (IEEE Congress on Evolutionary Computation, 2012)

A Multi-Objective Evolutionary approach for linear antenna array design and synthesis. - Subhrajit Roy; Saúl Zapotecas Martínez; Carlos A. Coello Coello; Soumyadip Sengupta (IEEE Congress on Evolutionary Computation, 2012)

Combining surrogate models and local search for dealing with expensive multi-objective optimization problems. - Saúl Zapotecas Martínez; Carlos Artemio Coello Coello (IEEE Congress on Evolutionary Computation, 2013)

A hybridization of MOEA/D with the nonlinear simplex search algorithm. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (MCDM, 2013)

MOEA/D assisted by rbf networks for expensive multi-objective optimization problems. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (GECCO, 2013)

A multi-objective evolutionary algorithm based on decomposition for constrained multi-objective optimization. - Saúl Zapotecas Martínez; Carlos A. Coello Coello (IEEE Congress on Evolutionary Computation, 2014)

Constrained multi-objective aerodynamic shape optimization via swarm intelligence. - Saúl Zapotecas Martínez; Alfredo Arias Montaño; Carlos A. Coello Coello (GECCO, 2014)

Genetic algorithm assisted by a SVM for feature selection in gait classification. - TzeWei Yeoh; Saúl Zapotecas Martínez; Youhei Akimoto; Hernán E. Aguirre; Kiyoshi Tanaka (ISPACS, 2014)

Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization Problem. - Saúl Zapotecas Martínez; Víctor Adrián Sosa-Hernández; Hernán E. Aguirre; Kiyoshi Tanaka; Carlos A. Coello Coello (PPSN, 2014)

Approaches for Many-Objective Optimization: Analysis and Comparison on MNK-Landscapes. - Hernán E. Aguirre; Saúl Zapotecas Martínez; Arnaud Liefooghe; Sébastien Vérel; Kiyoshi Tanaka (Artificial Evolution, 2015)

Traffic Signal Optimization: Minimizing Travel Time and Fuel Consumption. - Rolando Armas; Hernán E. Aguirre; Saúl Zapotecas Martínez; Kiyoshi Tanaka (Artificial Evolution, 2015)

Feature Selection in Gait Classification Using Geometric PSO Assisted by SVM. - Tze-Wei Yeoh; Saúl Zapotecas Martínez; Youhei Akimoto; Hernán E. Aguirre; Kiyoshi Tanaka (CAIP (2), 2015)

On the low-discrepancy sequences and their use in MOEA/D for high-dimensional objective spaces. - Saúl Zapotecas Martínez; Hernán E. Aguirre; Kiyoshi Tanaka; Carlos A. Coello Coello (CEC, 2015)

Injecting CMA-ES into MOEA/D. - Saúl Zapotecas Martínez; Bilel Derbel; Arnaud Liefooghe; Dimo Brockhoff; Hernán E. Aguirre; Kiyoshi Tanaka (GECCO, 2015)

Geometric Differential Evolution in MOEA/D: A Preliminary Study. - Saúl Zapotecas Martínez; Bilel Derbel; Arnaud Liefooghe; Hernán E. Aguirre; Kiyoshi Tanaka (MICAI (1), 2015)

Analysis and comparison of multi-objective evolutionary approaches on the multi-objective 1/0 unit commitment problem. - Saúl Zapotecas Martínez; Sophie Jacquin; Hernán E. Aguirre; Kiyoshi Tanaka (CEC, 2016)

A refinement mechanism to improve particle swarm optimization. - Wei Ren Tan; Saúl Zapotecas Martínez; Hernán E. Aguirre; Kiyoshi Tanaka (CEC, 2016)

Geometric Particle Swarm Optimization for Multi-objective Optimization Using Decomposition. - Saúl Zapotecas Martínez; Alberto Moraglio; Hernán E. Aguirre; Kiyoshi Tanaka (GECCO, 2016)

On the Many-Objective Pickup and Delivery Problem: Analysis of the Performance of Three Evolutionary Algorithms. - Abel García-Nájera; Antonio López Jaimes; Saúl Zapotecas Martínez (MICAI (1), 2017)

Decomposition-based Multi-Objective Evolutionary Optimization for Cluster-Head Selection in WSNs. - Saúl Zapotecas Martínez; Antonio López Jaimes; Karen Miranda; Abel García-Nájera (CEC, 2018)

An Analysis of Parameters of Decomposition-Based MOEAs on Many-Objective Optimization. - Elizabeth Montero; Saúl Zapotecas Martínez (CEC, 2018)

Pareto dominance-based MOEAs on problems with difficult pareto set topologies. - Yuri Marca; Hernán E. Aguirre; Saúl Zapotecas Martínez; Arnaud Liefooghe; Bilel Derbel; Sébastien Vérel; Kiyoshi Tanaka (GECCO (Companion), 2018)

An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation. - Adriana Menchaca-Méndez; Elizabeth Montero; Saúl Zapotecas Martínez (IEEE Access, 2018)

The Gradient Subspace Approximation as Local Search Engine within Evolutionary Multi-objective Optimization Algorithms. - Sergio Alvarado; Carlos Segura; Oliver Schütze 001; Saúl Zapotecas Martínez (Computación y Sistemas, 2018)

Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems. - Yuri Marca; Hernán E. Aguirre; Saúl Zapotecas Martínez; Arnaud Liefooghe; Bilel Derbel; Sébastien Vérel; Kiyoshi Tanaka (EMO, 2019)

A Parallel Tabu Search Heuristic to Approximate Uniform Designs for Reference Set Based MOEAs. - Alberto Rodríguez Sánchez; Antonin Ponsich; Antonio López Jaimes; Saúl Zapotecas Martínez (EMO, 2019)

A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on $ epsilon$ -Dominance. - Adriana Menchaca-Méndez; Elizabeth Montero; Luis Miguel Antonio; Saúl Zapotecas Martínez; Carlos A. Coello Coello; María Cristina Riff (IEEE Access, 2019)

Multi-objective grey wolf optimizer based on decomposition. - Saúl Zapotecas Martínez; Abel García-Nájera; Antonio López Jaimes (Expert Syst. Appl., 2019)

LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization. - Saúl Zapotecas Martínez; Antonio López Jaimes; Abel García-Nájera (Swarm Evol. Comput., 2019)

A Review of Features and Limitations of Existing Scalable Multiobjective Test Suites. - Saúl Zapotecas Martínez; Carlos A. Coello Coello; Hernán E. Aguirre; Kiyoshi Tanaka (IEEE Trans. Evol. Comput., 2019)

On the Performance of Generational and Steady-State MOEA/D in the Multi-Objective 0/1 Knapsack Problem. - Saúl Zapotecas Martínez; Adriana Menchaca-Méndez (CEC, 2020)

Decomposition multi-objective optimisation: current developments and future opportunities. - Ke Li 001; Qingfu Zhang 001; Saúl Zapotecas Martínez (GECCO Companion, 2020)

Multi-objective optimization in the agile software project scheduling using decomposition. - Saúl Zapotecas Martínez; Abel García-Nájera; Humberto Cervantes Maceda (GECCO Companion, 2020)

Constraint handling within MOEA/D through an additional scalarizing function. - Saúl Zapotecas Martínez; Antonin Ponsich (GECCO, 2020)

Selection Schemes Analysis in Genetic Algorithms for the Maximum Influence Problem. - Abel García-Nájera; Saúl Zapotecas Martínez; Roberto Bernal Jaquez (MICAI (1), 2020)

A Dynamic Penalty Function within MOEA/D for Constrained Multi-objective Optimization Problems. - Hugo Monzón Maldonado; Saúl Zapotecas Martínez (CEC, 2021)

Pareto compliance from a practical point of view. - Jesús Guillermo Falcón-Cardona; Saúl Zapotecas Martínez; Abel García-Nájera (GECCO, 2021)

Multi-objective Release Plan Rescheduling in Agile Software Development. - Abel García-Nájera; Saúl Zapotecas Martínez; Jesús Guillermo Falcón-Cardona; Humberto Cervantes (MICAI (1), 2021)

Analysis of the multi-objective cluster head selection problem in WSNs. - Abel García-Nájera; Saúl Zapotecas Martínez; Karen Miranda (Appl. Soft Comput., 2021)

Analysis of the multi-objective release plan rescheduling problem. - Victor Hugo Escandon Bailon; Humberto Cervantes Maceda; Abel García-Nájera; Saúl Zapotecas Martínez (Knowl. Based Syst., 2021)

Uniform mixture design via evolutionary multi-objective optimization. - Adriana Menchaca-Méndez; Saúl Zapotecas Martínez; Luis Miguel García-Velázquez; Carlos A. Coello Coello (Swarm Evol. Comput., 2022)

An Archive-Based Multi-Objective Simulated Annealing Algorithm for the Time/Weight-Balanced Cluster Problem in Delivery Logistics. - Eduardo Manuel Ceja-Cruz; Adriana Menchaca-Méndez; Elizabeth Montero; Saúl Zapotecas Martínez (CEC, 2023)

Hyperbolic Tangent Sigmoid as a Transformation Function for Image Contrast Enhancement. - Laritza Pérez-Enríquez; Saúl Zapotecas Martínez; Diego Oliva; Leopoldo Altamirano Robles (SSCI, 2023)

Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems. - Saúl Zapotecas Martínez; Abel García-Nájera; Adriana Menchaca-Méndez (Eng. Appl. Artif. Intell., 2023)

Challenging test problems for multi- and many-objective optimization. - Saúl Zapotecas Martínez; Carlos A. Coello Coello; Hernán E. Aguirre; Kiyoshi Tanaka (Swarm Evol. Comput., 2023)

Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy. - Arturo Valdivia; Itzel Aranguren; Jorge Ramos-Frutos; Ángel Casas-Ordaz; Diego Oliva; Saúl Zapotecas Martínez (MIC (2), 2024)

Improving COVID-19 Recognition: A Study of Contrast Enhancement Techniques and Normalization in Chest X-Rays Images. - Angel Ernesto Picazo-Castillo; Lizbeth A. Náfate Lázaro; Dennis F. Ruiz Camera; Raquel Díaz-Hernández; Leopoldo Altamirano Robles; Saúl Zapotecas Martínez; Salvador Eugenio Ayala-Raggi (CBMS, 2024)

Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising. - Oscar Ramos-Soto; Ángel Casas-Ordaz; Diego Oliva; Sandra E. Balderas-Mata; Saúl Zapotecas Martínez (CBMS, 2024)

Exploring Multi-Objective Evolutionary Approaches for Path Planning of Autonomous Mobile Robots. - Miguel A. Jiménez-Domínguez; Néstor A. García-Rojas; Saúl Zapotecas Martínez; Raquel Díaz-Hernández; Leopoldo Altamirano Robles (CEC, 2024)

Dynamic Social Particle Swarm Optimization For Automatic Clustering. - Hamida Amdouni; Ghaith Manita; Diego Oliva; Essam H. Houssein; Ouajdi Korbaa; Saúl Zapotecas Martínez (KES, 2024)

Adaptability and Efficiency in Population Management: A multi-population CMA-ES Strategy for High-Dimensional Optimization. - Bernardo Morales-Castañeda; Erick Rodríguez-Esparza; Diego Oliva; Mario A. Navarro; Itzel Aranguren; Ángel Casas-Ordaz; Luis A. Beltran; Saúl Zapotecas Martínez (KES, 2024)

Wrapper-Based Feature Selection to Classify Flatfoot Disease. - Israel Miguel-Andrés; Jorge Ramos-Frutos; Marwa Sharawi; Diego Oliva; Elivier Reyes-Dávila; Ángel Casas-Ordaz; Marco Pérez-Cisneros; Saúl Zapotecas Martínez (IEEE Access, 2024)

Corrections to "Wrapper-Based Feature Selection to Classify Flatfoot Disease". - Israel Miguel-Andrés; Jorge Ramos-Frutos; Marwa Sharawi; Diego Oliva; Elivier Reyes-Dávila; Ángel Casas-Ordaz; Marco Pérez-Cisneros; Saúl Zapotecas Martínez (IEEE Access, 2024)

Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization. - Luis A. Beltran; Mario A. Navarro; Diego Oliva; Diego Campos-Peña; Jorge Ramos-Frutos; Saúl Zapotecas Martínez (Expert Syst. Appl., 2024)

A multi-objective evolutionary approach for the electric vehicle charging stations problem. - Saúl Zapotecas Martínez; Rolando Armas; Abel García-Nájera (Expert Syst. Appl., 2024)

Evaluation of visual SLAM algorithms in unstructured planetary-like and agricultural environments. - Víctor Romero Bautista; Leopoldo Altamirano Robles; Raquel Díaz-Hernández; Saúl Zapotecas Martínez; Nohemí Sánchez-Medel (Pattern Recognit. Lett., 2024)

Evaluating Color Spaces for Evolutionary Image Contrast Enhancement: An Empirical Study. - Rafael Solar-Hernández; Saúl Zapotecas Martínez; Leopoldo Altamirano Robles; Diego Oliva; Seyed Jalaleddin Mousavirad (CEC, 2025)

Classification of CFD-Generated Aortic Flow Images Using Neural Networks. - Edgar Omar Martínez-Jiménez; Leopoldo Altamirano Robles; Raquel Díaz-Hernández; Saúl Zapotecas Martínez (MCPR, 2025)

Optimizing Electrocardiogram Denoising for Enhanced Cardiovascular Disease Detection: A Metaheuristic Approach. - Javier Galvis-Chacón; Oscar Ramos-Soto; Diego Oliva; Arturo Valdivia; Horacio Rostro-González; Saúl Zapotecas Martínez; Marco Antonio Pérez Cisneros (Computación y Sistemas (CyS), 2025)

Image Contrast Enhancement: The Synergistic Power of a Dual-Gamma Correction Function and Evolutionary Algorithms. - Laritza Pérez-Enríquez; Miguel A. Jiménez-Domínguez; Néstor A. García-Rojas; Saúl Zapotecas Martínez; Leopoldo Altamirano Robles (Computación y Sistemas (CyS), 2025)

Style Transfer Technique for Dermatological Imaging of Skin Lesions in Various Phototypes. - Nohemí Sánchez-Medel; Víctor Romero Bautista; Raquel Díaz-Hernández; Saúl Zapotecas Martínez; Leopoldo Altamirano Robles (Computación y Sistemas (CyS), 2025)

Vector quantization-driven image compression through multi-objective evolutionary algorithms. - Francisco David Camacho-Gonzalez; Daniel Lima-López; Saúl Zapotecas Martínez; Leopoldo Altamirano Robles (Expert Syst. Appl., 2025)

Multi-population estimation of distribution algorithm for multilevel thresholding in image segmentation. - Jorge Ramos-Frutos; Diego Oliva; Israel Miguel-Andrés; Ángel Casas-Ordaz; Oscar Ramos-Soto; Itzel Aranguren; Saúl Zapotecas Martínez (Neurocomputing, 2025)

Improving the exploitation in the estimation of distribution algorithm through simulated annealing strategies for solar energy problems. - Jorge Ramos-Frutos; Diego Oliva; Israel Miguel-Andrés; Mario A. Navarro; Arturo Valdivia; Saúl Zapotecas Martínez; Diego Campos-Peña (Knowl. Based Syst., 2025)