Adriana Menchaca-Méndez

Artículos de revista:

1. Engineering applications of multi-objective evolutionary algorithms: A test suit of box-constrained real-world problems, 2023.

2. An algorithm to compute time-balanced clusters for the delivery logistics problem, 2022.

3. Improved Lebesgue Indicator-Based Evolutionary Algorithm: Reducing Hypervolume Computations, 2021.

4. Uniform mixture design via evolutionary multi-objective optimization, 2021.

5. A Co-evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on $\epsilon$-Dominance, 2019.

6. An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm with Adaptative Resource Allocation, 2018.

7. An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms, 2017.

8. Selection Mechanisms based on the Maximin Fitness Function to solve Multi-Objective Optimization Problems, 2016.

9. Comments on "How to repair the Hill cipher", 2008.

Artículos de congreso:

1. Generalising the Team Orienteering problem through Multi-constraining and Multi-objectives, 2025.

2. An archived-based multi-objective simulated annealing algorithm for the time/weight-balanced cluster problem in delivery logistics, 2023.

3. On the Performance of Generational and Steady-State MOEA/D in the Multi-Objective 0/1 Knapsack Problem, 2020.

4. Δp-MOEA: A new multi-objective evolutionary algorithm based on the Δp indicator, 2016.

5. GDE-MOEA: A new MOEA based on the generational distance indicator and ε-dominance, 2015.

6. GD-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Generational Distance Indicator, 2015.

7. A More Efficient Selection Scheme in iSMS-EMOA, 2014.

8. MH-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Maximin Fitness Function and the Hypervolume Indicator, 2014.

9. MD-MOEA : A new MOEA based on the maximin fitness function and Euclidean distances between solutions, 2014.

10. A new selection mechanism based on hypervolume and its locality property, 2013.

11. Selection Operators Based on Maximin Fitness Function for Multi-Objective Evolutionary Algorithms, 2013.

12. Solving multi-objective optimization problems using differential evolution and a maximin selection criterion, 2012.

13. A new proposal to hybridize the Nelder-Mead method to a differential evolution algorithm for constrained optimization, 2009.

Artículos de divulgación:

1. Cómputo inteligente en el diseño de celdas de hidrógeno para la generación de energía limpia, 2024.