| A benchmark for equality constrained multi-objective optimization O Cuate, L Uribe, A Lara, O Schütze Swarm and Evolutionary Computation 52, 100619, 2020 | 25 | 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 | 13 | 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 | 9 | 2020 |
| 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 |
| 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 |
| 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 | 4 | 2019 |
| 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 | 2 | 2021 |
| 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 | 2 | 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 | 2 | 2018 |
| 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 | 1 | 2020 |
| 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 |
| Time Series Data. L Uribe, B Perea, G Hernández-del-Valle, O Schütze | | |
