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On modifications towards improvement of the exploitation phase for SOMA algorithm with clustering-aided migration and adaptive perturbation vector control

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dc.title On modifications towards improvement of the exploitation phase for SOMA algorithm with clustering-aided migration and adaptive perturbation vector control en
dc.contributor.author Kadavý, Tomáš
dc.contributor.author Viktorin, Adam
dc.contributor.author Pluháček, Michal
dc.contributor.author Kovář, Stanislav
dc.relation.ispartof 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings
dc.identifier.isbn 978-1-72819-048-8
dc.date.issued 2021
dc.event.title 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021
dc.event.location Orlando, FL
utb.event.state-en United States
utb.event.state-cs Spojené státy americké
dc.event.sdate 2021-12-05
dc.event.edate 2021-12-07
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/SSCI50451.2021.9659916
dc.relation.uri https://ieeexplore.ieee.org/document/9659916
dc.subject SOMA en
dc.subject SOMA-CLP en
dc.subject k-means en
dc.subject clustering en
dc.subject benchmarking en
dc.subject CEC 2021 en
dc.subject population dynamics en
dc.description.abstract This paper represents the next step in the development of the recently proposed single objective metaheuristic algorithm - Self-Organizing Migrating Algorithm with CLustering-aided migration and adaptive Perturbation vector control (SOMA-CLP). The CEC 2021 single objective bound-constrained optimization benchmark testbed was used for the performance evaluation of the modifications of the algorithm. The presented modifications were invoked by the results of CEC 2021 competition, where the SOMA-CLP ranked 7th out of 9 competing algorithms. This paper introduces three modifications of population organization process focusing on one particular phase of the SOMA-CLP algorithm aimed at exploitation. All results were compared and tested for statistical significance against the original variant using the Friedman rank test. The algorithm modification and analysis of the results presented here can be inspiring for other researchers working on the development and modifications of evolutionary computing techniques. © 2021 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010886
utb.identifier.obdid 43883102
utb.identifier.scopus 2-s2.0-85125804159
utb.identifier.wok 000824464300097
utb.source d-scopus
dc.date.accessioned 2022-03-21T08:23:44Z
dc.date.available 2022-03-21T08:23:44Z
dc.description.sponsorship IGA/CebiaTech/2021/001
dc.description.sponsorship Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2021/001]
utb.contributor.internalauthor Kadavý, Tomáš
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Kovář, Stanislav
utb.fulltext.affiliation Tomas Kadavy Faculty of Applied Informatics Tomas Bata University in Zlin Zlin, Czech Republic kadavy@utb.cz Adam Viktorin Faculty of Applied Informatics Tomas Bata University in Zlin Zlin, Czech Republic aviktorin@utb.cz Michal Pluhacek Faculty of Applied Informatics Tomas Bata University in Zlin Zlin, Czech Republic pluhacek@utb.cz Stanislav Kovar Faculty of Applied Informatics Tomas Bata University in Zlin Zlin, Czech Republic skovar@utb.c
utb.fulltext.dates -
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.wos.affiliation [Kadavy, Tomas; Viktorin, Adam; Pluhacek, Michal; Kovar, Stanislav] Tomas Bata Univ Zlin, Fac Appl Informat, Zlin, Czech Republic
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatics, Zlin, Czech Republic
utb.fulltext.projects 10.13039/100017430
utb.fulltext.projects IGA/CebiaTech/2021/001
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou -
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