GD-MOEA: A new multi-objective evolutionary algorithm based on the generational distance indicator A Menchaca-Mendez, CA Coello Coello
International conference on evolutionary multi-criterion optimization, 156-170, 2015
47 2015 GDE-MOEA: A new MOEA based on the generational distance indicator and ε-dominance A Menchaca-Mendez, CAC Coello
2015 IEEE congress on evolutionary computation (CEC), 947-955, 2015
40 2015 An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms A Menchaca-Mendez, CA Coello Coello
Soft Computing 21, 861-884, 2017
26 2017 A new selection mechanism based on hypervolume and its locality property A Menchaca-Mendez, CAC Coello
2013 IEEE Congress on Evolutionary Computation, 924-931, 2013
25 2013 A new proposal to hybridize the nelder-mead method to a differential evolution algorithm for constrained optimization A Menchaca-Mendez, CAC Coello
2009 IEEE Congress on Evolutionary Computation, 2598-2605, 2009
25 2009 Solving multi-objective optimization problems using differential evolution and a maximin selection criterion A Menchaca-Mendez, CAC Coello
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
21 2012 Selection mechanisms based on the maximin fitness function to solve multi-objective optimization problems A Menchaca-Mendez, CAC Coello
Information Sciences 332, 131-152, 2016
19 2016 A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on A Menchaca-Méndez, E Montero, LM Antonio, S Zapotecas-Martínez, ...
IEEE Access 7, 18267-18283, 2019
14 2019 Δp-MOEA: A new multi-objective evolutionary algorithm based on the Δp indicator A Menchaca-Mendez, C Hernández, CAC Coello
2016 IEEE Congress on evolutionary computation (CEC), 3753-3760, 2016
14 2016 Selection operators based on maximin fitness function for multi-objective evolutionary algorithms A Menchaca-Mendez, CAC Coello
International Conference on Evolutionary Multi-Criterion Optimization, 215-229, 2013
14 2013 MD-MOEA: A new MOEA based on the maximin fitness function and Euclidean distances between solutions A Menchaca-Mendez, CAC Coello
2014 IEEE Congress on Evolutionary Computation (CEC), 2148-2155, 2014
13 2014 An improved S-metric selection evolutionary multi-objective algorithm with adaptive resource allocation A Menchaca-Méndez, E Montero, S Zapotecas-Martínez
IEEE Access 6, 63382-63401, 2018
9 2018 Uniform mixture design via evolutionary multi‐objective optimization A Menchaca-Mendez, S Zapotecas-Martínez, LM García-Velázquez, ...
Swarm and Evolutionary Computation 68, 100979, 2022
8 2022 A more efficient selection scheme in iSMS-EMOA A Menchaca-Mendez, E Montero, MC Riff, CAC Coello
Advances in Artificial Intelligence--IBERAMIA 2014: 14th Ibero-American …, 2014
8 2014 Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems S Zapotecas-Martínez, A García-Nájera, A Menchaca-Méndez
Engineering Applications of Artificial Intelligence 123, 106192, 2023
7 2023 Improved lebesgue indicator-based evolutionary algorithm: reducing hypervolume computations S Zapotecas-Martínez, A García-Nájera, A Menchaca-Méndez
Mathematics 10 (1), 19, 2021
7 2021 An algorithm to compute time-balanced clusters for the delivery logistics problem A Menchaca-Méndez, E Montero, M Flores-Garrido, L Miguel-Antonio
Engineering Applications of Artificial Intelligence 111, 104795, 2022
5 2022 On the performance of generational and steady-state MOEA/D in the multi-objective 0/1 knapsack problem S Zapotecas-Martínez, A Menchaca-Méndez
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
5 2020 MH-MOEA: A new multi-objective evolutionary algorithm based on the maximin fitness function and the hypervolume indicator A Menchaca-Mendez, CA Coello Coello
International Conference on Parallel Problem Solving from Nature, 652-661, 2014
5 2014 Muti-Objective Evolutionary Algorithms based on the Maximin Fitness Function to solve Many-Objective Optimization Problems A Menchaca-Mendez, CAC Coello
Evolutionary Computation Group at CINVESTAV, Departamento de Computación …, 2015
1 2015 