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Saúl Zapotecas Martínez
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2020 – today
- 2025
- [j16]Francisco David Camacho-Gonzalez
, Daniel Lima-López
Vector quantization-driven image compression through multi-objective evolutionary algorithms. Expert Syst. Appl. 261: 125512 (2025) - 2024
- [j15]Israel Miguel-Andrés
Wrapper-Based Feature Selection to Classify Flatfoot Disease. IEEE Access 12: 22433-22447 (2024) - [j14]Saúl Zapotecas Martínez
A multi-objective evolutionary approach for the electric vehicle charging stations problem. Expert Syst. Appl. 240: 122514 (2024) - [j13]Luis A. Beltran
Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization. Expert Syst. Appl. 254: 124400 (2024) - [j12]Víctor Romero Bautista, Leopoldo Altamirano Robles, Raquel Díaz-Hernández, Saúl Zapotecas Martínez
Evaluation of visual SLAM algorithms in unstructured planetary-like and agricultural environments. Pattern Recognit. Lett. 186: 106-112 (2024) - [c48]Arturo Valdivia
Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy. MIC (2) 2024: 279-291 - [c47]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 - [c46]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: 358-363 - [c45]Miguel A. Jiménez-Domínguez, Néstor A. García-Rojas, Saúl Zapotecas Martínez, Raquel Díaz-Hernández, Leopoldo Altamirano Robles:
Exploring Multi-Objective Evolutionary Approaches for Path Planning of Autonomous Mobile Robots. CEC 2024: 1-8 - 2023
- [j11]Saúl Zapotecas Martínez
Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems. Eng. Appl. Artif. Intell. 123(Part A): 106192 (2023) - [j10]Saúl Zapotecas Martínez
Challenging test problems for multi- and many-objective optimization. Swarm Evol. Comput. 81: 101350 (2023) - [c44]Eduardo Manuel Ceja-Cruz, Adriana Menchaca-Méndez
An Archive-Based Multi-Objective Simulated Annealing Algorithm for the Time/Weight-Balanced Cluster Problem in Delivery Logistics. CEC 2023: 1-8 - [c43]Laritza Pérez-Enríquez
Hyperbolic Tangent Sigmoid as a Transformation Function for Image Contrast Enhancement. SSCI 2023: 282-287 - 2022
- [j9]Adriana Menchaca-Méndez
Uniform mixture design via evolutionary multi-objective optimization. Swarm Evol. Comput. 68: 100979 (2022) - 2021
- [j8]Abel García-Nájera
Analysis of the multi-objective cluster head selection problem in WSNs. Appl. Soft Comput. 112: 107853 (2021) - [j7]Victor Hugo Escandon Bailon
Analysis of the multi-objective release plan rescheduling problem. Knowl. Based Syst. 220: 106922 (2021) - [c42]Hugo Monzón Maldonado, Saúl Zapotecas Martínez
A Dynamic Penalty Function within MOEA/D for Constrained Multi-objective Optimization Problems. CEC 2021: 1470-1477 - [c41]Jesús Guillermo Falcón-Cardona
Pareto compliance from a practical point of view. GECCO 2021: 395-402 - [c40]Abel García-Nájera
Multi-objective Release Plan Rescheduling in Agile Software Development. MICAI (1) 2021: 403-414 - 2020
- [c39]Saúl Zapotecas Martínez
On the Performance of Generational and Steady-State MOEA/D in the Multi-Objective 0/1 Knapsack Problem. CEC 2020: 1-8 - [c38]Saúl Zapotecas Martínez
Constraint handling within MOEA/D through an additional scalarizing function. GECCO 2020: 595-602 - [c37]Ke Li, Qingfu Zhang, Saúl Zapotecas Martínez
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion 2020: 859-876 - [c36]Saúl Zapotecas Martínez
Multi-objective optimization in the agile software project scheduling using decomposition. GECCO Companion 2020: 1495-1502 - [c35]Abel García-Nájera, Saúl Zapotecas Martínez
Selection Schemes Analysis in Genetic Algorithms for the Maximum Influence Problem. MICAI (1) 2020: 211-222
2010 – 2019
- 2019
- [j6]Adriana Menchaca-Méndez
A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on $\epsilon$ -Dominance. IEEE Access 7: 18267-18283 (2019) - [j5]Saúl Zapotecas Martínez
Multi-objective grey wolf optimizer based on decomposition. Expert Syst. Appl. 120: 357-371 (2019) - [j4]Saúl Zapotecas Martínez
LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization. Swarm Evol. Comput. 44: 404-419 (2019) - [j3]Saúl Zapotecas Martínez
A Review of Features and Limitations of Existing Scalable Multiobjective Test Suites. IEEE Trans. Evol. Comput. 23(1): 130-142 (2019) - [c34]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: 254-265 - [c33]Yuri Marca, Hernán E. Aguirre, Saúl Zapotecas Martínez
Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems. EMO 2019: 386-398 - 2018
- [j2]Adriana Menchaca-Méndez
An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation. IEEE Access 6: 63382-63401 (2018) - [j1]Sergio Alvarado, Carlos Segura
The Gradient Subspace Approximation as Local Search Engine within Evolutionary Multi-objective Optimization Algorithms. Computación y Sistemas 22(2) (2018) - [c32]Saúl Zapotecas Martínez
Decomposition-based Multi-Objective Evolutionary Optimization for Cluster-Head Selection in WSNs. CEC 2018: 1-8 - [c31]Elizabeth Montero
An Analysis of Parameters of Decomposition-Based MOEAs on Many-Objective Optimization. CEC 2018: 1-8 - [c30]Yuri Marca, Hernán E. Aguirre, Saúl Zapotecas Martínez
Pareto dominance-based MOEAs on problems with difficult pareto set topologies. GECCO (Companion) 2018: 189-190 - 2017
- [c29]Abel García-Nájera
On the Many-Objective Pickup and Delivery Problem: Analysis of the Performance of Three Evolutionary Algorithms. MICAI (1) 2017: 69-81 - 2016
- [c28]Wei Ren Tan, Saúl Zapotecas Martínez
A refinement mechanism to improve particle swarm optimization. CEC 2016: 2049-2056 - [c27]Saúl Zapotecas Martínez
Analysis and comparison of multi-objective evolutionary approaches on the multi-objective 1/0 unit commitment problem. CEC 2016: 3019-3026 - [c26]Saúl Zapotecas Martínez
Geometric Particle Swarm Optimization for Multi-objective Optimization Using Decomposition. GECCO 2016: 69-76 - 2015
- [c25]Hernán E. Aguirre, Saúl Zapotecas Martínez
Approaches for Many-Objective Optimization: Analysis and Comparison on MNK-Landscapes. Artificial Evolution 2015: 14-28 - [c24]Rolando Armas, Hernán E. Aguirre, Saúl Zapotecas Martínez
Traffic Signal Optimization: Minimizing Travel Time and Fuel Consumption. Artificial Evolution 2015: 29-43 - [c23]Tze-Wei Yeoh, Saúl Zapotecas Martínez
Feature Selection in Gait Classification Using Geometric PSO Assisted by SVM. CAIP (2) 2015: 566-578 - [c22]Saúl Zapotecas Martínez
On the low-discrepancy sequences and their use in MOEA/D for high-dimensional objective spaces. CEC 2015: 2835-2842 - [c21]Saúl Zapotecas Martínez
Injecting CMA-ES into MOEA/D. GECCO 2015: 783-790 - [c20]Saúl Zapotecas Martínez
Geometric Differential Evolution in MOEA/D: A Preliminary Study. MICAI (1) 2015: 364-376 - 2014
- [c19]Saúl Zapotecas Martínez
A multi-objective evolutionary algorithm based on decomposition for constrained multi-objective optimization. IEEE Congress on Evolutionary Computation 2014: 429-436 - [c18]Saúl Zapotecas Martínez
Constrained multi-objective aerodynamic shape optimization via swarm intelligence. GECCO 2014: 81-88 - [c17]TzeWei Yeoh, Saúl Zapotecas Martínez
Genetic algorithm assisted by a SVM for feature selection in gait classification. ISPACS 2014: 191-195 - [c16]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: 682-691 - 2013
- [c15]Saúl Zapotecas Martínez
Combining surrogate models and local search for dealing with expensive multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2013: 2572-2579 - [c14]Saúl Zapotecas Martínez
A hybridization of MOEA/D with the nonlinear simplex search algorithm. MCDM 2013: 48-55 - [c13]Saúl Zapotecas Martínez
MOEA/D assisted by rbf networks for expensive multi-objective optimization problems. GECCO 2013: 1405-1412 - 2012
- [c12]Saúl Zapotecas Martínez
A direct local search mechanism for decomposition-based multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c11]Subhrajit Roy, Saúl Zapotecas Martínez
A Multi-Objective Evolutionary approach for linear antenna array design and synthesis. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c10]Saúl Zapotecas Martínez
A nonlinear simplex search approach for multi-objective optimization. IEEE Congress on Evolutionary Computation 2011: 2367-2374 - [c9]Saúl Zapotecas Martínez
A multi-objective particle swarm optimizer based on decomposition. GECCO 2011: 69-76 - [c8]Saúl Zapotecas Martínez
Swarm intelligence guided by multi-objective mathematical programming techniques. GECCO (Companion) 2011: 771-774 - [c7]Saúl Zapotecas Martínez
Self-adaptation Techniques Applied to Multi-Objective Evolutionary Algorithms. LION 2011: 567-581 - 2010
- [c6]Saúl Zapotecas Martínez
An archiving strategy based on the Convex Hull of Individual Minima for MOEAs. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c5]Saúl Zapotecas Martínez
A multi-objective meta-model assisted memetic algorithm with non gradient-based local search. GECCO 2010: 537-538 - [c4]Saúl Zapotecas Martínez
A novel diversification strategy for multi-objective evolutionary algorithms. GECCO (Companion) 2010: 2031-2034 - [c3]Saúl Zapotecas Martínez
A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model. PPSN (1) 2010: 576-585
2000 – 2009
- 2008
- [c2]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization. GECCO 2008: 769-770 - [c1]Saúl Zapotecas Martínez
A Proposal to Hybridize Multi-Objective Evolutionary Algorithms with Non-gradient Mathematical Programming Techniques. PPSN 2008: 837-846
Coauthor Index
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