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SOMA-CLP for competition on bound constrained single objective numerical optimization benchmark: A competition entry on bound constrained single objective numerical optimization at the genetic and evolutionary computation conference (GECCO) 2021
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| dc.title | SOMA-CLP for competition on bound constrained single objective numerical optimization benchmark: A competition entry on bound constrained single objective numerical optimization at the genetic and evolutionary computation conference (GECCO) 2021 | en |
| dc.contributor.author | Kadavý, Tomáš | |
| dc.contributor.author | Pluháček, Michal | |
| dc.contributor.author | Viktorin, Adam | |
| dc.contributor.author | Šenkeřík, Roman | |
| dc.relation.ispartof | GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion | |
| dc.identifier.isbn | 978-1-4503-8351-6 | |
| dc.date.issued | 2021 | |
| dc.citation.spage | 11 | |
| dc.citation.epage | 12 | |
| dc.event.title | 2021 Genetic and Evolutionary Computation Conference, GECCO 2021 | |
| dc.event.location | online | |
| dc.event.sdate | 2021-07-10 | |
| dc.event.edate | 2021-07-14 | |
| dc.type | conferenceObject | |
| dc.language.iso | en | |
| dc.publisher | Association for Computing Machinery, Inc | |
| dc.identifier.doi | 10.1145/3449726.3463286 | |
| dc.relation.uri | https://dl.acm.org/doi/10.1145/3449726.3463286 | |
| dc.subject | CEC 2021 | en |
| dc.subject | clustering | en |
| dc.subject | k-means | en |
| dc.subject | SOMA | en |
| dc.description.abstract | The paper represents a competition entry for the competition on bound constrained single objective numerical optimization at The Genetic and Evolutionary Computation Conference (GECCO) 2021 by a novel algorithm titled Self-organizing Migrating Algorithm with CLustering-aided migration and adaptive perturbation vector control (SOMA-CLP). © 2021 Owner/Author. | en |
| utb.faculty | Faculty of Applied Informatics | |
| dc.identifier.uri | http://hdl.handle.net/10563/1010467 | |
| utb.identifier.obdid | 43883100 | |
| utb.identifier.scopus | 2-s2.0-85111040897 | |
| utb.source | d-scopus | |
| dc.date.accessioned | 2021-08-17T07:36:50Z | |
| dc.date.available | 2021-08-17T07:36:50Z | |
| dc.description.sponsorship | IGA/CebiaTech/2021/001 | |
| utb.contributor.internalauthor | Kadavý, Tomáš | |
| utb.contributor.internalauthor | Pluháček, Michal | |
| utb.contributor.internalauthor | Viktorin, Adam | |
| utb.contributor.internalauthor | Šenkeřík, Roman | |
| utb.fulltext.sponsorship | This work was supported by the Internal Grant Agency of Tomas Bata University under the Projects no. IGA/CebiaTech/2021/001, and further by the resources of A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin (ailab.fai.utb.cz). | |
| utb.scopus.affiliation | Tomas Bata University in Zlin, Zlin, Czech Republic | |
| utb.fulltext.projects | IGA/CebiaTech/2021/001 |
