Noiseless Functions Black-Box Optimization: Evaluation of a Hybrid Particle Swarm with Differential Operators

García Nieto, José Manuel; Alba, Enrique; Apolloni, Javier

doi:10.1145/1570256.1570311

Ponencia

dc.creator	García Nieto, José Manuel	es
dc.creator	Alba, Enrique	es
dc.creator	Apolloni, Javier	es
dc.date.accessioned	2021-05-11T08:50:00Z
dc.date.available	2021-05-11T08:50:00Z
dc.date.issued	2009
dc.identifier.citation	García Nieto, J.M., Alba, E. y Apolloni, J. (2009). Noiseless Functions Black-Box Optimization: Evaluation of a Hybrid Particle Swarm with Differential Operators. En GECCO 2009: 11th annual conference on Genetic and evolutionary computation (2231-2238), Montreal Québec Canada: ACM Digital Library.
dc.identifier.isbn	978-1-60558-505-5	es
dc.identifier.uri	https://hdl.handle.net/11441/108840
dc.description.abstract	In this work we evaluate a Particle Swarm Optimizer hy- bridized with Di®erential Evolution and apply it to the Black- Box Optimization Benchmarking for noiseless functions (BBOB 2009). We have performed the complete procedure estab-lished in this special session dealing with noiseless functions with dimension: 2, 3, 5, 10, 20, and 40 variables. Our pro-posal obtained an accurate level of coverage rate, despite the simplicity of the model and the relatively small number of function evaluations used.	es
dc.description.sponsorship	Ministerio de Ciencia e Innovación TIN2008-06491-C04-01	es
dc.description.sponsorship	Junta de Andalucía P07-TIC-03044	es
dc.format	application/pdf	es
dc.format.extent	7	es
dc.language.iso	eng	es
dc.publisher	ACM Digital Library	es
dc.relation.ispartof	GECCO 2009: 11th annual conference on Genetic and evolutionary computation (2009), pp. 2231-2238.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Benchmarking	es
dc.subject	Black-box optimization	es
dc.subject	Noiseless Functions	es
dc.subject	Hybrid Algorithms	es
dc.subject	Particle Swarm	es
dc.subject	Differential Evolution	es
dc.title	Noiseless Functions Black-Box Optimization: Evaluation of a Hybrid Particle Swarm with Differential Operators	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial	es
dc.relation.projectID	TIN2008-06491-C04-01	es
dc.relation.projectID	P07-TIC-03044	es
dc.relation.publisherversion	https://dl.acm.org/doi/abs/10.1145/1570256.1570311	es
dc.identifier.doi	10.1145/1570256.1570311	es
dc.publication.initialPage	2231	es
dc.publication.endPage	2238	es
dc.eventtitle	GECCO 2009: 11th annual conference on Genetic and evolutionary computation	es
dc.eventinstitution	Montreal Québec Canada	es
dc.relation.publicationplace	New York, USA	es
dc.contributor.funder	Ministerio de Ciencia e Innovación (MICIN). España	es
dc.contributor.funder	Junta de Andalucía	es

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