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Extended study on the randomization and sequencing for the chaos embedded heuristic

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dc.title Extended study on the randomization and sequencing for the chaos embedded heuristic en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.contributor.author Zelinka, Ivan
dc.contributor.author Viktorin, Adam
dc.contributor.author Janoštík, Jakub
dc.relation.ispartof Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.identifier.issn 0302-9743 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-39377-3
dc.identifier.isbn 978-3-319-39378-0
dc.date.issued 2016
utb.relation.volume 9692
dc.citation.spage 493
dc.citation.epage 504
dc.event.title 15th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2016
dc.event.location Zakopane
utb.event.state-en Poland
utb.event.state-cs Polsko
dc.event.sdate 2016-06-12
dc.event.edate 2016-06-16
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-39378-0_42
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-39378-0_42
dc.subject Complex dynamics en
dc.subject Deterministic chaos en
dc.subject Differential evolution en
dc.subject Randomization en
dc.subject Ueda oscillator en
dc.description.abstract This research deals with the hybridization of two soft-computing fields, which are chaos theory and evolutionary algorithms. This paper investigates the utilization of the time-continuous chaotic system, which is Ueda oscillator, as the chaotic pseudo random number generator (CPRNG) embedded into the selected heuristics. Through the utilization of time-continuous systems and with different sampling times from very small to bigger, it is possible to fully keep, suppress or remove the hidden complex chaotic dynamics from the generated pseudo random data series. Repeated simulations were performed investigating the influence of the oscillator sampling time to the selected heuristic, which is differential evolution algorithm (DE). Experiments are focused on the extended investigation, whether the different randomization and pseudo random numbers distribution given by particular CPRNG or hidden complex chaotic dynamics providing the unique sequencing are beneficial to the heuristic performance. This research utilizes set of 4 selected benchmark functions, three different sampling rates of Ueda oscillator; further results are compared against canonical DE. © Springer International Publishing Switzerland 2016. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006552
utb.identifier.obdid 43876350
utb.identifier.scopus 2-s2.0-84976617706
utb.identifier.wok 000389514800042
utb.source d-scopus
dc.date.accessioned 2016-08-09T14:02:58Z
dc.date.available 2016-08-09T14:02:58Z
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Janoštík, Jakub
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