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Adriana Menchaca-Mendez
Adriana Menchaca-Mendez
ENES Unidad Morelia, UNAM
Verified email at enesmorelia.unam.mx
Title
Cited by
Cited by
Year
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
462015
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
372015
An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms
A Menchaca-Mendez, CA Coello Coello
Soft Computing 21, 861-884, 2017
262017
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
252009
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
242013
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
212012
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
192016
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
142019
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
142016
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
142013
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
132014
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
92018
Uniform mixture design via evolutionary multi‐objective optimization
A Menchaca-Mendez, S Zapotecas-Martínez, LM García-Velázquez, ...
Swarm and Evolutionary Computation 68, 100979, 2022
82022
Improved lebesgue indicator-based evolutionary algorithm: reducing hypervolume computations
S Zapotecas-Martínez, A García-Nájera, A Menchaca-Méndez
Mathematics 10 (1), 19, 2021
72021
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
72014
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
52023
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
52020
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
52014
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
42022
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
12015
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