Antonio LaTorre

Appl. Soft Comput., November, 2023

Evolutionary-Based Generative Design for Electric Transmission Towers.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2023

Sequential Hybridization of Online Surrogate Models for Continuous Optimization.

[BibT_eX]

[DOI]

Pablo S. Naharro

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2022

2021

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems.

[BibT_eX]

[DOI]

Eneko Osaba

Esther Villar-Rodriguez

Ponnuthurai N. Suganthan

Carlos A. Coello Coello

Francisco Herrera

Swarm Evol. Comput., 2021

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2021

3D segmentation of neuronal nuclei and cell-type identification using multi-channel information.

[BibT_eX]

[DOI]

Lidia Alonso-Nanclares

José M. Peña

Javier DeFelipe

Expert Syst. Appl., 2021

Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers.

[BibT_eX]

[DOI]

Pablo S. Naharro

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit.

[BibT_eX]

[DOI]

Julián A. García-Grajales

Man Ting Kwong

Riyi Shi

Antoine Jérusalem

J. Comput. Sci., 2020

Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics.

[BibT_eX]

[DOI]

CoRR, 2020

On The Role Of Execution Order In Hybrid Evolutionary Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Fostering interpretability of data mining models through data perturbation.

[BibT_eX]

[DOI]

Seddik Belkoura

Massimiliano Zanin

Expert Syst. Appl., 2019

Comparing Large-Scale Global Optimization Competition winners in a real-world problem.

[BibT_eX]

[DOI]

Arthur R. Nesterenko

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions.

[BibT_eX]

[DOI]

Francisco Herrera

Cogn. Comput., 2018

SHADE with Iterative Local Search for Large-Scale Global Optimization.

[BibT_eX]

[DOI]

Francisco Herrera

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Toolkit for the Automatic Comparison of Optimizers: Comparing Large-Scale Global Optimizers Made Easy.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

On the scalability of population restart mechanisms on large-scale global optimization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2015

A comprehensive comparison of large scale global optimizers.

[BibT_eX]

[DOI]

Inf. Sci., 2015

2014

Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior?

[BibT_eX]

[DOI]

Alexander Mendiburu

Inf. Sci., 2014

Designer-driven 3D buildings generated using Variable Neighborhood Search.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

2013

Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions.

[BibT_eX]

[DOI]

Memetic Comput., 2013

A variable neighborhood search algorithm for the optimization of a dial-a-ride problem in a large city.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2013

Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images.

[BibT_eX]

[DOI]

Lidia Alonso-Nanclares

Javier DeFelipe

Expert Syst. Appl., 2013

Soft computing for content generation: Trading market in a basketball management video game.

[BibT_eX]

[DOI]

Ernestina Menasalvas Ruiz

Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

Large scale global optimization: Experimental results with MOS-based hybrid algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

A new methodology for the automatic creation of adaptive hybrid algorithms.

[BibT_eX]

[DOI]

Intell. Data Anal., 2012

Multiple Offspring Sampling in Large Scale Global Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test.

[BibT_eX]

[DOI]

Soft Comput., 2011

A direct optimization approach to the P300 speller.

[BibT_eX]

[DOI]

Roberto Santana

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A differential evolution algorithm for the detection of synaptic vesicles.

[BibT_eX]

[DOI]

Roberto Santana

Ángel Merchán-Pérez

José-Rodrigo Rodríguez

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Benchmarking a hybrid DE-RHC algorithm on real world problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

A new initialization procedure for the distributed estimation of distribution algorithms.

[BibT_eX]

[DOI]

Soft Comput., 2010

Learning hybridization strategies in evolutionary algorithms.

[BibT_eX]

[DOI]

Alex Alves Freitas

Intell. Data Anal., 2010

Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2010

2009

A framework for hybrid dynamic evolutionary algorithms : multiple offspring sampling (MOS).

[BibT_eX]

[DOI]

PhD thesis, 2009

A Memetic Differential Evolution Algorithm for Continuous Optimization.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Tentative Exploration on Reinforcement Learning Algorithms for Stochastic Rewards.

[BibT_eX]

[DOI]

Luís Peña

Sascha Ossowski

Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Hybrid evolutionary algorithms for large scale continuous problems.

[BibT_eX]

[DOI]

Manuel Zaforas

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Quality measures to adapt the participation in MOS.

[BibT_eX]

[DOI]

Carlos Pascual

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms.

[BibT_eX]

[DOI]

P. de Miguel

Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

Voronoi-initializated island models for solving real-coded deceptive problems.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Using multiple offspring sampling to guide genetic algorithms to solve permutation problems.

[BibT_eX]

[DOI]