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Lourdes Uribe
Lourdes Uribe
Universidad Anáhuac México
Preverjeni e-poštni naslov na anahuac.mx
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Leto
A benchmark for equality constrained multi-objective optimization
O Cuate, L Uribe, A Lara, O Schütze
Swarm and Evolutionary Computation 52, 100619, 2020
472020
A new hybrid evolutionary algorithm for the treatment of equality constrained MOPs
O Cuate, A Ponsich, L Uribe, S Zapotecas-Martínez, A Lara, O Schütze
Mathematics 8 (1), 7, 2019
332019
On the efficient computation and use of multi-objective descent directions within constrained MOEAs
L Uribe, A Lara, O Schütze
Swarm and Evolutionary Computation 52, 100617, 2020
172020
A new gradient free local search mechanism for constrained multi-objective optimization problems
L Uribe, A Lara, K Deb, O Schütze
Swarm and Evolutionary Computation 67, 100938, 2021
142021
A new hybrid metaheuristic for equality constrained bi-objective optimization problems
O Cuate, L Uribe, A Ponsich, A Lara, F Beltran, AR Sánchez, O Schütze
Evolutionary Multi-Criterion Optimization: 10th International Conference …, 2019
72019
On the choice of neighborhood sampling to build effective search operators for constrained MOPs
A Lara, L Uribe, S Alvarado, VA Sosa, H Wang, O Schütze
Memetic Computing 11, 155-173, 2019
62019
Routing and Scheduling in Multigraphs With Time Constraints—A Memetic Approach for Airport Ground Movement
L Beke, L Uribe, A Lara, CAC Coello, M Weiszer, EK Burke, J Chen
IEEE Transactions on Evolutionary Computation 28 (2), 474-488, 2023
52023
A set based newton method for the averaged Hausdorff distance for multi-objective reference set problems
L Uribe, JM Bogoya, A Vargas, A Lara, G Rudolph, O Schütze
Mathematics 8 (10), 1822, 2020
42020
Dataset on a benchmark for equality constrained multi-objective optimization
O Cuate, L Uribe, A Lara, O Schütze
Data in brief 29, 2020
42020
The gradient subspace approximation and its application to bi-objective optimization problems
O Schütze, L Uribe, A Lara
Advances in Dynamics, Optimization and Computation: A volume dedicated to …, 2020
42020
A hybrid metaheuristic for the efficient solution of garch with trend models
L Uribe, B Perea, G Hernández-del-Valle, O Schütze
Computational Economics 52 (1), 145-166, 2018
32018
Riesz s-Energy as a Diversity Indicator in Evolutionary Multi-Objective Optimization
JG Falcón-Cardona, L Uribe, P Rosas
IEEE Transactions on Evolutionary Computation, 2024
12024
A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms
H Wang, AE Rodriguez-Fernandez, L Uribe, A Deutz, O Cortés-Piña, ...
arXiv preprint arXiv:2405.05721, 2024
12024
Backup Solutions for the Refueling Problem in Foreign Transportation: A Case Study in Mexico
O Cuate, R Belmont, L Uribe, GP Villamar, I GP, CSS Nava
Mexican International Conference on Artificial Intelligence, 251-263, 2023
2023
Using gradient-free local search within MOEAs for the treatment of constrained MOPs
L Uribe, A Lara, K Deb, O Schütze
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
2020
Toward a New Family of Hybrid Evolutionary Algorithms
L Uribe, O Schütze, A Lara
Evolutionary Multi-Criterion Optimization: 10th International Conference …, 2019
2019
Penalty Functions to Improve the Performance of MOEA’s for Portfolio Optimization Problems
L Uribe, U Trejo-Ramirez, Y Andrade-Ibarra, O Cuate, V Cordero
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