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Cluster restarted DM: New algorithm for global optimisation

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dc.title Cluster restarted DM: New algorithm for global optimisation en
dc.contributor.author Dlapa, Marek
dc.relation.ispartof 2017 Intelligent Systems Conference, IntelliSys 2017
dc.identifier.isbn 978-1-5090-6435-9
dc.date.issued 2018
utb.relation.volume 2018-January
dc.citation.spage 1130
dc.citation.epage 1135
dc.event.title 2017 Intelligent Systems Conference, IntelliSys 2017
dc.event.location London
utb.event.state-en United Kingdom
utb.event.state-cs Spojené království
dc.event.sdate 2017-09-07
dc.event.edate 2017-09-08
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/IntelliSys.2017.8324271
dc.relation.uri https://ieeexplore.ieee.org/document/8324271/
dc.subject global optimisation en
dc.subject evolutionary algorithms en
dc.subject covariance matrix adaptation en
dc.subject self-organizing migration algorithm en
dc.description.abstract Global optimisation method Differential Migration (DM) with restarting is described in this paper and evaluated together with Restart Covariance Matrix Adaptation Evolution Strategy With Increasing Population Size (IPOP-CMA-ES). Differential Migration is another step in global optimisation from SOMA (Self-Organizing Migration Algorithm) combining two basic individual movement methods of SOMA - all-to-one and all-to-all, via cluster analysis and internal algorithm constant defining continuous change from one type of movement to another. The proposed algorithm implements essential ideas of Differential Evolution regardless of their original interpretation in living nature with subsequent increase of efficiency in finding global extreme which holds mainly for noisy multimodal cost functions present in the benchmarks as well as in real world applications. © 2017 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008157
utb.identifier.obdid 43876946
utb.identifier.scopus 2-s2.0-85050889335
utb.identifier.wok 000456827800152
utb.source d-scopus
dc.date.accessioned 2018-08-29T08:26:57Z
dc.date.available 2018-08-29T08:26:57Z
dc.description.sponsorship Ministry of Education, Youth and Sports of the Czech Republic [LO1303 (MSM - 7778//2014)]
utb.ou CEBIA-Tech
utb.contributor.internalauthor Dlapa, Marek
utb.fulltext.affiliation Marek Dlapa Faculty of Applied Informatics Tomas Bata University in Zlin Nad Stranemi 4511, 760 05 Zlin, Czech Rep. E-mail: dlapa@fai.utb.cz
utb.fulltext.dates -
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utb.fulltext.sponsorship This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSM-7778//2014).
utb.wos.affiliation [Dlapa, Marek] Tomas Bata Univ Zlin, Fac Appl Informat, Nad Stranemi 4511, Zlin 76005, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, Czech Republic
utb.fulltext.projects LO1303 (MSM-7778//2014)
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