A comparison of meta-heuristic based optimization methods using standard benchmarks

García González, Enol; Villar Flecha, José Ramón; Chira, C.; Sedano, J.

doi:10.1007/978-3-031-15471-3_42

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A comparison of meta-heuristic based optimization methods using standard benchmarks

dc.contributor.author	García González, Enol
dc.contributor.author	Villar Flecha, José Ramón
dc.contributor.author	Chira, C.
dc.contributor.author	Sedano, J.
dc.date.accessioned	2023-03-02T09:29:15Z
dc.date.available	2023-03-02T09:29:15Z
dc.date.issued	2022
dc.identifier.isbn	9783031154706
dc.identifier.issn	0302-9743
dc.identifier.uri	http://hdl.handle.net/10651/66564
dc.description	International Conference on Hybrid Artificial Intelligence Systems, HAIS 2022 (17th. 2022. Salamanca, Spain)
dc.description.sponsorship	European Union’s Horizon 2020 [grant no 872548]; the Spanish Ministry of Economics and Industry, [PID2020-112726RB-I00]; the Spanish Research Agency (AEI, Spain) [RED2018-102312-T] (IA-Biomed); CDTI (Centro para el Desarrollo Tecnológico Industrial) under projects [CER-20211003 and CER-20211022]; Principado de Asturias [SV-PA-21-AYUD/2021/50994] (...)
dc.format.extent	p. 494-504
dc.language.iso	eng
dc.relation.ispartof	Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics)
dc.relation.ispartofseries	Lecture Notes in Computer Science; v. 13469
dc.rights	© 2022 Springer Nature Switzerland AG
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138993009&doi=10.1007%2f978-3-031-15471-3_42&partnerID=40&md5=c98e4103feecc357b9c92cb74ae6fd80
dc.title	A comparison of meta-heuristic based optimization methods using standard benchmarks
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-031-15471-3_42
dc.relation.projectID	info:eu‐repo/grantAgreement/EC/H2020/872548
dc.relation.projectID	MINECO/PID2020-112726RB-I00
dc.relation.projectID	AEI/RED2018-102312-T
dc.relation.projectID	CDTI/CER-20211003
dc.relation.projectID	CDTI/CER-20211022
dc.relation.projectID	SV-PA-21-AYUD/2021/50994
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-031-15471-3_42
dc.rights.accessRights	embargoed access
dc.type.hasVersion	AM

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