Adriana Menchaca-Méndez
Orcid: 0000-0003-2279-4772
According to our database1,
Adriana Menchaca-Méndez
authored at least 19 papers
between 2009 and 2023.
Collaborative distances:
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Bibliography
2023
Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems.
Eng. Appl. Artif. Intell., 2023
An Archive-Based Multi-Objective Simulated Annealing Algorithm for the Time/Weight-Balanced Cluster Problem in Delivery Logistics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Swarm Evol. Comput., 2022
Eng. Appl. Artif. Intell., 2022
2020
On the Performance of Generational and Steady-State MOEA/D in the Multi-Objective 0/1 Knapsack Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on $\epsilon$ -Dominance.
IEEE Access, 2019
2018
An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation.
IEEE Access, 2018
2017
An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms.
Soft Comput., 2017
2016
Selection mechanisms based on the maximin fitness function to solve multi-objective optimization problems.
Inf. Sci., 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
GD-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Generational Distance Indicator.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
MH-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Maximin Fitness Function and the Hypervolume Indicator.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014
MD-MOEA : A new MOEA based on the maximin fitness function and Euclidean distances between solutions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Selection Operators Based on Maximin Fitness Function for Multi-Objective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Solving multi-objective optimization problems using differential evolution and a maximin selection criterion.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2009
A new proposal to hybridize the Nelder-Mead method to a differential evolution algorithm for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009