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Clustered enhanced differential evolution for the blocking flow shop scheduling problem

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dc.title Clustered enhanced differential evolution for the blocking flow shop scheduling problem en
dc.contributor.author Davendra, Donald David
dc.contributor.author Zelinka, Ivan
dc.contributor.author Bialic-Davendra, Magdalena Lucyna
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Jašek, Roman
dc.relation.ispartof Central European Journal of Operations Research
dc.identifier.issn 1435-246X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2012
utb.relation.volume 20
utb.relation.issue 4
dc.citation.spage 679
dc.citation.epage 717
dc.type article
dc.language.iso en
dc.publisher Physica-Verlag GmbH und Co. en
dc.identifier.doi 10.1007/s10100-011-0198-3
dc.relation.uri https://link.springer.com/article/10.1007/s10100-011-0198-3
dc.relation.uri https://link.springer.com/content/pdf/10.1007/s10100-011-0198-3.pdf
dc.subject Differential Evolution en
dc.subject Evolutionary Algorithms en
dc.subject Flow shop Scheduling with Blocking en
dc.subject Scheduling en
dc.description.abstract A novel clustered population paradigm is presented in this paper which is based on Chaos principles of edges and attractors. Convergence in evolutionary algorithms is viewed as a manifestation through cyclic dynamics and thus a new population is developed which is clustered and separated through new segregation bias rules. This population is embedded on the Enhanced Differential Evolution and the flow shop scheduling problem with blocking is solved. The two flow shop benchmark problems of Rec/Car/Hel and Taillard are solved with this new approach and the results favorably compared with published results in literature. A total of 49 new upper bounds for the Taillard problems was obtained during experimentation. © 2011 Springer-Verlag. en
utb.faculty Faculty of Management and Economics
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003023
utb.identifier.rivid RIV/70883521:28120/12:43868163!RIV13-MSM-28120___
utb.identifier.rivid RIV/70883521:28140/12:43868163!RIV13-MSM-28140___
utb.identifier.obdid 43868256
utb.identifier.scopus 2-s2.0-84867867131
utb.identifier.wok 000310229300006
utb.source j-scopus
dc.date.accessioned 2012-11-12T19:34:27Z
dc.date.available 2012-11-12T19:34:27Z
utb.contributor.internalauthor Bialic-Davendra, Magdalena Lucyna
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Jašek, Roman
utb.fulltext.affiliation Donald Davendra · Ivan Zelinka · Magdalena Bialic-Davendra · Roman Senkerik · Roman Jasek D. Davendra (*) · I. Zelinka Faculty of Electrical Engineering and Computing Science, Technical University of Ostrava, Ostrava, Czech Republic |e-mail: donald.davendra@vsb.cz M. Bialic-Davendra · R. Senkerik · R. Jasek Tomas Bata University in Zlin, nam. T. G. Masaryka 5555, 760 01 Zlin, Czech Republic, e-mail: bialic@fame.utb.cz I. Zelinka - e-mail: ivan.zelinka@vsb.cz R. Senkerik - e-mail: senkerik@fai.utb.cz R. Jasek - e-mail: jasek@fai.utb.cz
utb.fulltext.dates Published online: 29 March 2011
utb.fulltext.sponsorship Grant Agency of the Czech Republic GACR 102/09/1680.
utb.fulltext.projects GACR 102/09/1680
utb.fulltext.faculty -
utb.fulltext.ou -
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