Zobrazit minimální záznam

dc.contributor.authorMetlická, Magdalena
dc.contributor.authorDavendra, Donald David
dc.date.accessioned2016-02-22T13:45:52Z
dc.date.available2016-02-22T13:45:52Z
dc.date.issued2015
dc.identifier.citationSwarm and Evolutionary Computation. 2015, vol. 25, p. 15-28.cs
dc.identifier.issn2210-6502
dc.identifier.issn2210-6510
dc.identifier.urihttp://hdl.handle.net/10084/111300
dc.description.abstractThe chaos driven discrete artificial bee colony (CDABC) algorithm is introduced in this paper. Four unique chaos maps of Burgers, Lozi, Delayed Logistic and Tinkerbell are embedded as chaos pseudo-random number generators and compared with the Mersenne Twister pseudo-random number generator. Two unique problems of quadratic assignment and capacitated vehicle routing problem are solved using five different variants of the algorithm and analytical comparison is conducted. Furthermore, paired t-test is done pairwise on all variants, and from these results it is ascertained that the Tinkerbell variant of CDABC is the best performing for both problem classes.cs
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesSwarm and Evolutionary Computationcs
dc.relation.urihttp://dx.doi.org/10.1016/j.swevo.2015.03.002cs
dc.rightsCopyright © 2015 Elsevier B.V. All rights reserved.cs
dc.titleChaos driven discrete artificial bee algorithm for location and assignment optimisation problemscs
dc.typearticlecs
dc.identifier.doi10.1016/j.swevo.2015.03.002
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume25cs
dc.description.lastpage28cs
dc.description.firstpage15cs
dc.identifier.wos000367860600003


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