Lourdes Uribe

Orcid: 0000-0002-2547-2288

According to our database1, Lourdes Uribe authored at least 16 papers between 2019 and 2025.

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Bibliography

2025
A Newton Method for Hausdorff Approximations of the Pareto Front Within Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput., October, 2025

Riesz s-Energy as a Diversity Indicator in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., August, 2025

Riesz Energy-Based Hybrid Algorithms for Constrained Multi-Objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

Improving Academic Plan Efficiency with Genetic Algorithm and Stochastic Simulation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

Hot Off the Press: A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024
Routing and Scheduling in Multigraphs With Time Constraints - A Memetic Approach for Airport Ground Movement.
IEEE Trans. Evol. Comput., April, 2024

A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms.
CoRR, 2024

2023
Penalty Functions to Improve the Performance of MOEA's for Portfolio Optimization Problems.
Res. Comput. Sci., 2023

Backup Solutions for the Refueling Problem in Foreign Transportation: A Case Study in Mexico.
Proceedings of the Advances in Soft Computing, 2023

2021
A new gradient free local search mechanism for constrained multi-objective optimization problems.
Swarm Evol. Comput., 2021

2020
On the efficient computation and use of multi-objective descent directions within constrained MOEAs.
Swarm Evol. Comput., 2020

A benchmark for equality constrained multi-objective optimization.
Swarm Evol. Comput., 2020

Using gradient-free local search within MOEAs for the treatment of constrained MOPs.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
On the choice of neighborhood sampling to build effective search operators for constrained MOPs.
Memetic Comput., 2019

Toward a New Family of Hybrid Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019


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