Saúl Zapotecas Martínez

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 37

Top Topics

Swarm Optimization

Evolutionary Algorithm

Fuel Consumption

Feature Selection

Top Venues

Swarm Evol. Comput.

Publications

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 (2024)
Saúl Zapotecas Martínez, Rolando Armas, Abel García-Nájera
A multi-objective evolutionary approach for the electric vehicle charging stations problem. Expert Syst. Appl. 240 (2024)
Miguel A. Jiménez-Domínguez, Néstor A. García-Rojas, Saúl Zapotecas Martínez, Raquel Díaz Hemández, Leopoldo Altamirano Robles
Exploring Multi-Objective Evolutionary Approaches for Path Planning of Autonomous Mobile Robots. CEC (2024)
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 (2024)
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)
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
Improving COVID-19 Recognition: A Study of Contrast Enhancement Techniques and Normalization in Chest X-Rays Images. CBMS (2024)
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)
Laritza Pérez-Enríquez, Saúl Zapotecas Martínez, Diego Oliva, Leopoldo Altamirano Robles
Hyperbolic Tangent Sigmoid as a Transformation Function for Image Contrast Enhancement. SSCI (2023)
Saúl Zapotecas Martínez, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka
Challenging test problems for multi- and many-objective optimization. Swarm Evol. Comput. 81 (2023)
Saúl Zapotecas Martínez, Abel García-Nájera, Adriana Menchaca-Méndez
Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Eduardo Manuel Ceja-Cruz, Adriana Menchaca-Méndez, Elizabeth Montero, Saúl Zapotecas Martínez
An Archive-Based Multi-Objective Simulated Annealing Algorithm for the Time/Weight-Balanced Cluster Problem in Delivery Logistics. CEC (2023)
Adriana Menchaca-Mendez, Saúl Zapotecas Martínez, Luis Miguel García-Velázquez, Carlos A. Coello Coello
Uniform mixture design via evolutionary multi-objective optimization. Swarm Evol. Comput. 68 (2022)
Abel García-Nájera, Saúl Zapotecas Martínez, Karen Miranda
Analysis of the multi-objective cluster head selection problem in WSNs. Appl. Soft Comput. 112 (2021)
Hugo Monzón Maldonado, Saúl Zapotecas Martínez
A Dynamic Penalty Function within MOEA/D for Constrained Multi-objective Optimization Problems. CEC (2021)
Victor Hugo Escandon Bailon, Humberto Cervantes Maceda, Abel García-Nájera, Saúl Zapotecas Martínez
Analysis of the multi-objective release plan rescheduling problem. Knowl. Based Syst. 220 (2021)
Jesús Guillermo Falcón-Cardona, Saúl Zapotecas Martínez, Abel García-Nájera
Pareto compliance from a practical point of view. GECCO (2021)
Abel García-Nájera, Saúl Zapotecas Martínez, Jesús Guillermo Falcón-Cardona, Humberto Cervantes
Multi-objective Release Plan Rescheduling in Agile Software Development. MICAI (1) (2021)
Ke Li, Qingfu Zhang, Saúl Zapotecas Martínez
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion (2020)
Saúl Zapotecas Martínez, Adriana Menchaca-Mendez
On the Performance of Generational and Steady-State MOEA/D in the Multi-Objective 0/1 Knapsack Problem. CEC (2020)
Saúl Zapotecas Martínez, Abel García-Nájera, Humberto Cervantes Maceda
Multi-objective optimization in the agile software project scheduling using decomposition. GECCO Companion (2020)
Saúl Zapotecas Martínez, Antonin Ponsich
Constraint handling within MOEA/D through an additional scalarizing function. GECCO (2020)
Abel García-Nájera, Saúl Zapotecas Martínez, Roberto Bernal Jaquez
Selection Schemes Analysis in Genetic Algorithms for the Maximum Influence Problem. MICAI (1) (2020)
Adriana Menchaca-Mendez, Elizabeth Montero, Luis Miguel Antonio, Saúl Zapotecas Martínez, Carlos A. Coello Coello, María Cristina Riff
A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on $\epsilon$ -Dominance. IEEE Access 7 (2019)
Yuri Marca, Hernán E. Aguirre, Saúl Zapotecas Martínez, Arnaud Liefooghe, Bilel Derbel, Sébastien Vérel, Kiyoshi Tanaka
Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems. EMO (2019)
Saúl Zapotecas Martínez, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka
A Review of Features and Limitations of Existing Scalable Multiobjective Test Suites. IEEE Trans. Evol. Comput. 23 (1) (2019)
Alberto Rodríguez Sánchez, Antonin Ponsich, Antonio López Jaimes, Saúl Zapotecas Martínez
A Parallel Tabu Search Heuristic to Approximate Uniform Designs for Reference Set Based MOEAs. EMO (2019)
Saúl Zapotecas Martínez, Abel García-Nájera, Antonio López Jaimes
Multi-objective grey wolf optimizer based on decomposition. Expert Syst. Appl. 120 (2019)
Saúl Zapotecas Martínez, Antonio López Jaimes, Abel García-Nájera
LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization. Swarm Evol. Comput. 44 (2019)
Adriana Menchaca-Mendez, Elizabeth Montero, Saúl Zapotecas Martínez
An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation. IEEE Access 6 (2018)
Sergio Alvarado, Carlos Segura, Oliver Schütze, Saúl Zapotecas Martínez
The Gradient Subspace Approximation as Local Search Engine within Evolutionary Multi-objective Optimization Algorithms. Computación y Sistemas 22 (2) (2018)
Saúl Zapotecas Martínez, Antonio López Jaimes, Karen Miranda, Abel García-Nájera
Decomposition-based Multi-Objective Evolutionary Optimization for Cluster-Head Selection in WSNs. CEC (2018)
Yuri Marca, Hernán E. Aguirre, Saúl Zapotecas Martínez, Arnaud Liefooghe, Bilel Derbel, Sébastien Vérel, Kiyoshi Tanaka
Pareto dominance-based MOEAs on problems with difficult pareto set topologies. GECCO (Companion) (2018)
Elizabeth Montero, Saúl Zapotecas Martínez
An Analysis of Parameters of Decomposition-Based MOEAs on Many-Objective Optimization. CEC (2018)
Abel García-Nájera, Antonio López Jaimes, Saúl Zapotecas Martínez
On the Many-Objective Pickup and Delivery Problem: Analysis of the Performance of Three Evolutionary Algorithms. MICAI (1) (2017)
Saúl Zapotecas Martínez, Sophie Jacquin, Hernán E. Aguirre, Kiyoshi Tanaka
Analysis and comparison of multi-objective evolutionary approaches on the multi-objective 1/0 unit commitment problem. CEC (2016)
Wei Ren Tan, Saúl Zapotecas Martínez, Hernán E. Aguirre, Kiyoshi Tanaka
A refinement mechanism to improve particle swarm optimization. CEC (2016)
Saúl Zapotecas Martínez, Alberto Moraglio, Hernán E. Aguirre, Kiyoshi Tanaka
Geometric Particle Swarm Optimization for Multi-objective Optimization Using Decomposition. GECCO (2016)
Rolando Armas, Hernán E. Aguirre, Saúl Zapotecas Martínez, Kiyoshi Tanaka
Traffic Signal Optimization: Minimizing Travel Time and Fuel Consumption. Artificial Evolution (2015)
Saúl Zapotecas Martínez, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Kiyoshi Tanaka
Geometric Differential Evolution in MOEA/D: A Preliminary Study. MICAI (1) (2015)
Hernán E. Aguirre, Saúl Zapotecas Martínez, Arnaud Liefooghe, Sébastien Vérel, Kiyoshi Tanaka
Approaches for Many-Objective Optimization: Analysis and Comparison on MNK-Landscapes. Artificial Evolution (2015)
Saúl Zapotecas Martínez, Hernán E. Aguirre, Kiyoshi Tanaka, Carlos A. Coello Coello
On the low-discrepancy sequences and their use in MOEA/D for high-dimensional objective spaces. CEC (2015)
Saúl Zapotecas Martínez, Bilel Derbel, Arnaud Liefooghe, Dimo Brockhoff, Hernán E. Aguirre, Kiyoshi Tanaka
Injecting CMA-ES into MOEA/D. GECCO (2015)
Tze-Wei Yeoh, Saúl Zapotecas Martínez, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka
Feature Selection in Gait Classification Using Geometric PSO Assisted by SVM. CAIP (2) (2015)
Saúl Zapotecas Martínez, Víctor Adrián Sosa-Hernández, Hernán E. Aguirre, Kiyoshi Tanaka, Carlos A. Coello Coello
Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization Problem. PPSN (2014)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
A multi-objective evolutionary algorithm based on decomposition for constrained multi-objective optimization. IEEE Congress on Evolutionary Computation (2014)
Saúl Zapotecas Martínez, Alfredo Arias Montaño, Carlos A. Coello Coello
Constrained multi-objective aerodynamic shape optimization via swarm intelligence. GECCO (2014)
TzeWei Yeoh, Saúl Zapotecas Martínez, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka
Genetic algorithm assisted by a SVM for feature selection in gait classification. ISPACS (2014)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
MOEA/D assisted by rbf networks for expensive multi-objective optimization problems. GECCO (2013)
Saúl Zapotecas Martínez, Carlos Artemio Coello Coello
Combining surrogate models and local search for dealing with expensive multi-objective optimization problems. IEEE Congress on Evolutionary Computation (2013)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
A hybridization of MOEA/D with the nonlinear simplex search algorithm. MCDM (2013)
Subhrajit Roy, Saúl Zapotecas Martínez, Carlos A. Coello Coello, Soumyadip Sengupta
A Multi-Objective Evolutionary approach for linear antenna array design and synthesis. IEEE Congress on Evolutionary Computation (2012)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
A direct local search mechanism for decomposition-based multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation (2012)
Saúl Zapotecas Martínez, Alfredo Arias Montaño, Carlos A. Coello Coello
A nonlinear simplex search approach for multi-objective optimization. IEEE Congress on Evolutionary Computation (2011)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
A multi-objective particle swarm optimizer based on decomposition. GECCO (2011)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
Swarm intelligence guided by multi-objective mathematical programming techniques. GECCO (Companion) (2011)
Saúl Zapotecas Martínez, Edgar G. Yáñez Oropeza, Carlos A. Coello Coello
Self-adaptation Techniques Applied to Multi-Objective Evolutionary Algorithms. LION (2011)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model. PPSN (1) (2010)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
A multi-objective meta-model assisted memetic algorithm with non gradient-based local search. GECCO (2010)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
A novel diversification strategy for multi-objective evolutionary algorithms. GECCO (Companion) (2010)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
An archiving strategy based on the Convex Hull of Individual Minima for MOEAs. IEEE Congress on Evolutionary Computation (2010)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization. GECCO (2008)
Saúl Zapotecas Martínez, Carlos A. Coello Coello
A Proposal to Hybridize Multi-Objective Evolutionary Algorithms with Non-gradient Mathematical Programming Techniques. PPSN (2008)