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Scatter search algorithm with chaos based stochasticity

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dc.title Scatter search algorithm with chaos based stochasticity en
dc.contributor.author Davendra, Donald David
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Zelinka, Ivan
dc.contributor.author Pluháček, Michal
dc.relation.ispartof Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014
dc.identifier.isbn 9781479914883
dc.date.issued 2014
dc.citation.spage 860
dc.citation.epage 866
dc.event.title 2014 IEEE Congress on Evolutionary Computation, CEC 2014
utb.event.state-en China
utb.event.state-cs Čína
dc.event.sdate 2014-07-06
dc.event.edate 2014-07-11
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/CEC.2014.6900273
dc.relation.uri https://ieeexplore.ieee.org/document/6900273
dc.relation.uri https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6900273
dc.description.abstract In this paper, we introduce a Scatter Search algorithm which is driven using a set of four chaos maps. The chaos maps of Tinkerbell, Delayed Logistics, Lozi and Burgers are used as chaotic pseudorandom number generators in the Scatter Search algorithm. These variants of the algorithm are used to solve the flowshop with blocking problem. The results are compared with the Mersenne Twister version of Scatter Search. The new chaos driven Scatter Search algorithm is shown to have superior performance when compared with state of the art heuristics in literature. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004646
utb.identifier.obdid 43871919
utb.identifier.scopus 2-s2.0-84908577196
utb.identifier.wok 000356684601034
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:54:40Z
dc.date.available 2015-06-04T12:54:40Z
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
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