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Towards better population sizing for differential evolution through active population analysis with complex network

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dc.title Towards better population sizing for differential evolution through active population analysis with complex network en
dc.contributor.author Viktorin, Adam
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.contributor.author Kadavý, Tomáš
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-61565-3
dc.date.issued 2018
utb.relation.volume 611
dc.citation.spage 225
dc.citation.epage 235
dc.event.title 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017
dc.event.location Torino
utb.event.state-en Italy
utb.event.state-cs Itálie
dc.event.sdate 2017-07-10
dc.event.edate 2017-07-12
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-61566-0_22
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-61566-0_22
dc.description.abstract This research paper presents an analysis of the population activity in Differential Evolution algorithm (DE) during the optimization process. A state-of-art DE variant – Success-History based Adaptive DE (SHADE) is used and the population activity is analyzed through Complex Network (CN) created from mutation, crossover and selection steps. The analysis is done on the CEC2015 benchmark set and possible future research directions for the population sizing are suggested. © Springer International Publishing AG 2018. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007292
utb.identifier.obdid 43876997
utb.identifier.scopus 2-s2.0-85026313361
utb.identifier.wok 000432998800022
utb.source d-scopus
dc.date.accessioned 2017-09-03T21:40:09Z
dc.date.available 2017-09-03T21:40:09Z
dc.description.sponsorship CZ.1.05/2.1.00/03.0089, ERDF, European Regional Development Fund; GACR P103/15/06700S, GACR;GAČR, Grantová Agentura České Republiky; IGA/CebiaTech/2017/004, UTB, Univerzita Tomáše Bati ve Zlíně; MSMT-7778/2014, MŠMT, Ministerstvo Školství, Mládeže a Tělovýchovy
dc.description.sponsorship Grant Agency of the Czech Republic [GACR P103/15/06700S]; Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2017/004]
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Kadavý, Tomáš
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G. Masaryka 5555, Zlin, Czech Republic
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