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Distance vs. Improvement based parameter adaptation in SHADE

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dc.title Distance vs. Improvement based parameter adaptation in SHADE 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 9783319911885
dc.date.issued 2019
utb.relation.volume 764
dc.citation.spage 455
dc.citation.epage 464
dc.event.title 7th Computer Science On-line Conference, CSOC 2018
dc.event.sdate 2018-04-25
dc.event.edate 2018-04-28
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-91189-2_45
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-91189-2_45
dc.subject Db_SHADE en
dc.subject DIb_SHADE en
dc.subject Differential evolution en
dc.subject Parameter adaptation en
dc.subject SHADE en
dc.description.abstract This work studied a relationship between optimization qualities of Success-History based Adaptive Differential Evolution algorithm (SHADE) and its self-adaptive parameter strategy. Original SHADE with improvement based adaptation is compared to the SHADE with Distance based parameter adaptation (Db_SHADE) on the basis of the CEC2015 benchmark set for continuous optimization and a novel approach combining both distance and improvement adaptation (DIb_SHADE) is presented and tested as a trade-off between both approaches. © 2019, Springer International Publishing AG, part of Springer Nature. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007987
utb.identifier.obdid 43878844
utb.identifier.scopus 2-s2.0-85047881975
utb.identifier.wok 000460247600045
utb.source d-scopus
dc.date.accessioned 2018-07-27T08:47:38Z
dc.date.available 2018-07-27T08:47:38Z
dc.description.sponsorship IC1406, COST, European Cooperation in Science and Technology; CA15140, COST, European Cooperation in Science and Technology; IGA/CebiaTech/2018/003; MSMT-7778/2014, MŠMT, Ministerstvo Školství, Mládeže a Tělovýchovy; LO1303, MŠMT, Ministerstvo Školství, Mládeže a Tělovýchovy; COST, European Cooperation in Science and Technology; CZ.1.05/2.1.00/03.0089, FEDER, European Regional Development Fund
dc.description.sponsorship Ministry of Education, Youth and Sports of the Czech Republic [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/2018/003]; COST (European Cooperation in Science Technology) [CA15140, IC1406]; A.I. Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin
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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