| A benchmark for equality constrained multi-objective optimization O Cuate, L Uribe, A Lara, O Schütze Swarm and Evolutionary Computation 52, 100619, 2020 | 47 | 2020 |
| 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 | 33 | 2019 |
| 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 | 17 | 2020 |
| 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 | 14 | 2021 |
| 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 | 7 | 2019 |
| 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 | 6 | 2019 |
| 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 | 5 | 2023 |
| 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 | 4 | 2020 |
| Dataset on a benchmark for equality constrained multi-objective optimization O Cuate, L Uribe, A Lara, O Schütze Data in brief 29, 2020 | 4 | 2020 |
| 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 | 4 | 2020 |
| 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 | 3 | 2018 |
| 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 | 1 | 2024 |
| 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 | 1 | 2024 |
| 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 | | |
