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Differential evolution for constrained industrial optimization

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dc.title Differential evolution for constrained industrial optimization en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.contributor.author Pluháček, Michal
dc.contributor.author Kadavý, Tomáš
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Lecture Notes in Electrical Engineering
dc.identifier.issn 1876-1100 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-331969813-7
dc.date.issued 2018
utb.relation.volume 465
dc.citation.spage 123
dc.citation.epage 132
dc.event.title 4th International Conference on Advanced Engineering Theory and Applications, AETA 2017
dc.event.location Ho Chi Minh City
utb.event.state-en Vietnam
utb.event.state-cs Vietnam
dc.event.sdate 2017-12-07
dc.event.edate 2017-12-09
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-69814-4_12
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-69814-4_12
dc.subject Constrained optimization en
dc.subject Differential Evolution en
dc.subject SHADE en
dc.description.abstract This research deals with the constrained industrial optimization task, which is the optimization of technological parameters for the waste processing batch reactor. This paper provides a closer insight into the performance of connection between constrained optimization and different strategies of Differential Evolution (DE). Thus, the motivation behind this research is to explore and investigate the differences in performance of basic canonical strategies of DE as well as by the state of the art strategy, which is Success-History based Adaptive Differential Evolution (SHADE). The simple experiment has been carried out here and 30 times repeated. Consequences of different DE strategies performances are briefly discussed within conclusion section of this paper. © Springer International Publishing AG 2018. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007627
utb.identifier.obdid 43877234
utb.identifier.scopus 2-s2.0-85034603038
utb.source d-scopus
dc.date.accessioned 2018-01-15T16:31:34Z
dc.date.available 2018-01-15T16:31:34Z
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Kadavý, Tomáš
utb.fulltext.affiliation Roman Senkerik 1, Adam Viktorin 1, Michal Pluhacek 1, Tomas Kadavy 1, Ivan Zelinka 2 1 Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {senkerik,aviktorin,pluhacek,kadavy}@fai.utb.cz 2 Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic ivan.zelinka@vsb.cz
utb.fulltext.dates -
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, Zlin, Czech Republic; Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, Czech Republic
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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