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On the randomization of indices selection for differential evolution

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dc.title On the randomization of indices selection for differential evolution en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Pluháček, Michal
dc.contributor.author Viktorin, Adam
dc.contributor.author Kadavý, Tomáš
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783319572604
dc.date.issued 2017
utb.relation.volume 573
dc.citation.spage 537
dc.citation.epage 547
dc.event.title 6th Computer Science On-line Conference, CSOC 2017
dc.event.sdate 2017-04-26
dc.event.edate 2017-04-29
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-57261-1_53
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-57261-1_53
dc.subject Burgers map en
dc.subject Complex dynamics en
dc.subject Deterministic chaos en
dc.subject Differential evolution en
dc.subject Lozi map en
dc.subject Randomization en
dc.description.abstract This research deals with the hybridization of two softcomputing fields, which are the chaos theory and evolutionary algorithms. This paper investigates the utilization of the two-dimensional discrete chaotic systems, which are Burgers and Lozi maps, as the chaotic pseudo random number generators (CPRNGs) embedded into the selected heuristics, which is differential evolution algorithm (DE). Through the utilization of either chaotic systems or identical identified pseudo random number distribution, it is possible to fully keep or remove the hidden complex chaotic dynamics from the generated pseudo random data series. Experiments are focused on the extended investigation, whether the different randomization types with different pseudo random numbers distribution or hidden complex chaotic dynamics providing the unique sequencing are more beneficial to the heuristic performance. This research utilizes set of 4 selected benchmark functions, and totally four different randomizations; further results are compared against canonical DE. © Springer International Publishing AG 2017. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007375
utb.identifier.obdid 43877222
utb.identifier.scopus 2-s2.0-85018683205
utb.identifier.wok 000405337000053
utb.source d-scopus
dc.date.accessioned 2017-09-08T12:14:47Z
dc.date.available 2017-09-08T12:14:47Z
dc.description.sponsorship P103/15/06700S, GACR;GAČR, Grantová Agentura České Republiky
dc.description.sponsorship Grant Agency of the Czech Republic - GACR [P103/15/06700S]; NPU I by the Ministry of Education of the Czech Republic [MSMT-7778/2014]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/CEBIA-Tech/2017/004]
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Kadavý, Tomáš
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