Adriana Menchaca-Mendez

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 10

Top Topics

Evolutionary Algorithm

Fitness Function

Euclidean Distance

Top Venues

IEEE Congress on Evolutionary Computation

Publications

Adriana Menchaca-Mendez, Elizabeth Montero, Marisol Flores-Garrido, Luis Miguel Antonio
An algorithm to compute time-balanced clusters for the delivery logistics problem. Eng. Appl. Artif. Intell. 111 (2022)
Adriana Menchaca-Mendez, Saúl Zapotecas Martínez, Luis Miguel García-Velázquez, Carlos A. Coello Coello
Uniform mixture design via evolutionary multi-objective optimization. Swarm Evol. Comput. 68 (2022)
Saúl Zapotecas Martínez, Adriana Menchaca-Mendez
On the Performance of Generational and Steady-State MOEA/D in the Multi-Objective 0/1 Knapsack Problem. CEC (2020)
Adriana Menchaca-Mendez, Elizabeth Montero, Luis Miguel Antonio, Saúl Zapotecas Martínez, Carlos A. Coello Coello, María Cristina Riff
A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on $\epsilon$ -Dominance. IEEE Access 7 (2019)
Adriana Menchaca-Mendez, Elizabeth Montero, Saúl Zapotecas Martínez
An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation. IEEE Access 6 (2018)
Adriana Menchaca-Mendez, Carlos A. Coello Coello
An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms. Soft Comput. 21 (4) (2017)
Adriana Menchaca-Mendez, Carlos A. Coello Coello
Selection mechanisms based on the maximin fitness function to solve multi-objective optimization problems. Inf. Sci. 332 (2016)
Adriana Menchaca-Mendez, Carlos Ignacio Hernandez Castellanos, Carlos A. Coello Coello
Δp-MOEA: A new multi-objective evolutionary algorithm based on the Δp indicator. CEC (2016)
Adriana Menchaca-Mendez, Carlos A. Coello Coello
GD-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Generational Distance Indicator. EMO (1) (2015)
Adriana Menchaca-Mendez, Carlos A. Coello Coello
GDE-MOEA: A new MOEA based on the Generational Distance indicator and ε-dominance. CEC (2015)
Adriana Menchaca-Mendez, Carlos A. Coello Coello
MH-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Maximin Fitness Function and the Hypervolume Indicator. PPSN (2014)
Adriana Menchaca-Mendez, Elizabeth Montero, María Cristina Riff, Carlos A. Coello Coello
A More Efficient Selection Scheme in iSMS-EMOA. IBERAMIA (2014)
Adriana Menchaca-Mendez, Carlos A. Coello Coello
MD-MOEA : A new MOEA based on the maximin fitness function and Euclidean distances between solutions. IEEE Congress on Evolutionary Computation (2014)
Adriana Menchaca-Mendez, Carlos Artemio Coello Coello
A new selection mechanism based on hypervolume and its locality property. IEEE Congress on Evolutionary Computation (2013)
Adriana Menchaca-Mendez, Carlos A. Coello Coello
Selection Operators Based on Maximin Fitness Function for Multi-Objective Evolutionary Algorithms. EMO (2013)
Adriana Menchaca-Mendez, Carlos A. Coello Coello
Solving multi-objective optimization problems using differential evolution and a maximin selection criterion. IEEE Congress on Evolutionary Computation (2012)
Adriana Menchaca-Mendez, Carlos A. Coello Coello
A new proposal to hybridize the Nelder-Mead method to a differential evolution algorithm for constrained optimization. IEEE Congress on Evolutionary Computation (2009)