Adaptability and efficiency in population management: a multi-population CMA-ES strategy for high-dimensional optimization

Vista sencilla de ítem
dc.contributor.authorMorales Castañeda, Bernardo
dc.contributor.authorRodríguez Esparza, Erick
dc.contributor.authorOliva, Diego
dc.contributor.authorNavarro, Mario A.
dc.contributor.authorAranguren, Itzel
dc.contributor.authorCasas Ordaz, Ángel
dc.contributor.authorBeltran, Luis A.
dc.contributor.authorZapotecas Martínez, Saúl
dc.date.accessioned2025-06-03T11:05:02Z
dc.date.available2025-06-03T11:05:02Z
dc.date.issued2024
dc.date.updated2025-06-03T11:05:02Z
dc.descriptionPonencia presentada en la 28th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2024), celebrada en Sevilla, entre el 11 y el 13 de septiembre de 2024es
dc.description.abstractIn the context of evolutionary algorithms, having the ability to adapt to any search space within an optimization problem is an essential task. Appropriately adapting the population can lead to better solutions and more efficient use of function call resources. This article presents a renewed approach to population management inspired by modifying the well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm. The proposed strategy aims to improve the algorithm's population adaptability to the search space and optimize function evaluations. Statistically evaluated experimental test outcomes demonstrate significantly better performance on high-dimensional problems in comparison to the original CMA-ES and seven other known evolutionary algorithms in the literature.en
dc.identifier.citationMorales-Castañeda, B., Rodríguez-Esparza, E., Oliva, D., Navarro, M. A., Aranguren, I., Casas-Ordaz, A., Beltran, L. A., & Zapotecas-Martínez, S. (2024). Adaptability and efficiency in population management: a multi-population CMA-ES strategy for high-dimensional optimization. Procedia Computer Science, 246(C), 1389-1398. https://doi.org/10.1016/J.PROCS.2024.09.579
dc.identifier.doi10.1016/J.PROCS.2024.09.579
dc.identifier.eissn1877-0509
dc.identifier.urihttp://hdl.handle.net/20.500.14454/2922
dc.language.isoeng
dc.publisherElsevier B.V.
dc.rights© 2024 The Authors
dc.subject.otherCMA-ES Function evaluation
dc.subject.otherCovariance matrix
dc.subject.otherEvolutionary algorithms
dc.subject.otherPopulation
dc.titleAdaptability and efficiency in population management: a multi-population CMA-ES strategy for high-dimensional optimizationen
dc.typeconference paper
dcterms.accessRightsopen access
oaire.citation.endPage1398
oaire.citation.issueC
oaire.citation.startPage1389
oaire.citation.titleProcedia Computer Science
oaire.citation.volume246
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc-nd/4.0/
oaire.versionVoR
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
morales_adaptability_2024.pdf
Tamaño:
2.2 MB
Formato:
Adobe Portable Document Format
Descargar
Colecciones
Ponencias