Jesús Guillermo Falcón-Cardona

Orcid: 0000-0003-1131-098X

According to our database1, Jesús Guillermo Falcón-Cardona authored at least 32 papers between 2016 and 2024.

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Bibliography

2024
A Multi-Objective Evolutionary Algorithm Based on Uniformity and Diversity to Handle Regular and Irregular Pareto Front Shapes.
IEEE Access, 2024

Reaching Pareto Front Shape Invariance with a Continuous Multi-objective Ant Colony Optimization Algorithm.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

DeepEMO: A Multi-indicator Convolutional Neural Network-Based Evolutionary Multi-objective Algorithm.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Beyond 'Novel' Metaphor-based Metaheuristics: An Interactive Algorithm Design Software.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
On the adaptation of reference sets using niching and pair-potential energy functions for multi-objective optimization.
Swarm Evol. Comput., December, 2023

On the utilization of pair-potential energy functions in multi-objective optimization.
Swarm Evol. Comput., 2023

2022
On the Construction of Pareto-Compliant Combined Indicators.
Evol. Comput., 2022

New Findings on Indicator-based Multi-Objective Evolutionary Algorithms: A Brief Summary.
CLEI Electron. J., 2022

Considerations in the Incremental Hypervolume Algorithm of the WFG.
Proceedings of the Advances in Computational Intelligence, 2022

An Extension of the iMOACO$\mathbb {_R}$ Algorithm Based on Layer-Set Selection.
Proceedings of the Swarm Intelligence - 13th International Conference, 2022

2021
On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2021

Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey.
Swarm Evol. Comput., 2021

Indicator-based Multi-objective Evolutionary Algorithms: A Comprehensive Survey.
ACM Comput. Surv., 2021

Towards a Pareto Front Shape Invariant Multi-Objective Evolutionary Algorithm Using Pair-Potential Functions.
Proceedings of the Advances in Computational Intelligence, 2021

Multi-objective Release Plan Rescheduling in Agile Software Development.
Proceedings of the Advances in Computational Intelligence, 2021

Pareto compliance from a practical point of view.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

An Overview of Pair-Potential Functions for Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Towards a More Balanced Reference Set Adaptation Method: First Results.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Exploiting the Trade-off between Convergence and Diversity Indicators.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An Ensemble Indicator-Based Density Estimator for Evolutionary Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Riesz s-energy-based Reference Sets for Multi-Objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
On the construction of pareto-compliant quality indicators.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Convergence and diversity analysis of indicator-based multi-objective evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

CRI-EMOA: A Pareto-Front Shape Invariant Evolutionary Multi-objective Algorithm.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

On the Cooperation of Multiple Indicator-based Multi-Objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
An Adaptive Recombination-Based Extension of the iMOACOR Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Towards a More General Many-objective Evolutionary Optimizer.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Towards a more general many-objective evolutionary optimizer using multi-indicator density estimation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A multi-objective evolutionary hyper-heuristic based on multiple indicator-based density estimators.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
A new indicator-based many-objective ant colony optimizer for continuous search spaces.
Swarm Intell., 2017

2016
iMOACO _\mathbb R : A New Indicator-Based Multi-objective Ant Colony Optimization Algorithm for Continuous Search Spaces.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016


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