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 | 27 | 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 -Dominance 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 |