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dc.contributor.authorZelinka, Ivan
dc.contributor.authorDiep, Quoc Bao
dc.contributor.authorSnášel, Václav
dc.contributor.authorDas, Swagatam
dc.contributor.authorInnocenti, Giacomo
dc.contributor.authorTesi, Alberto
dc.contributor.authorSchoen, Fabio
dc.contributor.authorKuznetsov, Nikolai V.
dc.date.accessioned2022-01-24T06:36:47Z
dc.date.available2022-01-24T06:36:47Z
dc.date.issued2022
dc.identifier.citationZelinka, I., Diep, Q. B., Snášel, V., Das, S., Innocenti, G., Tesi, A., Schoen, F., & Kuznetsov, N. V. (2022). Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms : An experimental analysis. <i>Information Sciences</i>, <i>587</i>, 692-719. <a href="https://doi.org/10.1016/j.ins.2021.10.076" target="_blank">https://doi.org/10.1016/j.ins.2021.10.076</a>
dc.identifier.otherCONVID_101916780
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/79478
dc.description.abstractRandom mechanisms including mutations are an internal part of evolutionary algorithms, which are based on the fundamental ideas of Darwin’s theory of evolution as well as Mendel’s theory of genetic heritage. In this paper, we debate whether pseudo-random processes are needed for evolutionary algorithms or whether deterministic chaos, which is not a random process, can be suitably used instead. Specifically, we compare the performance of 10 evolutionary algorithms driven by chaotic dynamics and pseudo-random number generators using chaotic processes as a comparative study. In this study, the logistic equation is employed for generating periodical sequences of different lengths, which are used in evolutionary algorithms instead of randomness. We suggest that, instead of pseudo-random number generators, a specific class of deterministic processes (based on deterministic chaos) can be used to improve the performance of evolutionary algorithms. Finally, based on our findings, we propose new research questions.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesInformation Sciences
dc.rightsCC BY 4.0
dc.subject.otherdeterministic chaos
dc.subject.otherswarm intelligence
dc.subject.otherevolutionary algorithms
dc.subject.otheralgorithm dynamics
dc.subject.otheralgorithm performance
dc.titleImpact of chaotic dynamics on the performance of metaheuristic optimization algorithms : An experimental analysis
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202201241254
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineLaskennallinen tiedefi
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineComputing, Information Technology and Mathematicsfi
dc.contributor.oppiaineComputational Scienceen
dc.contributor.oppiaineMathematical Information Technologyen
dc.contributor.oppiaineComputing, Information Technology and Mathematicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange692-719
dc.relation.issn0020-0255
dc.relation.volume587
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 The Author(s). Published by Elsevier Inc.
dc.rights.accesslevelopenAccessfi
dc.subject.ysoparviäly
dc.subject.ysoevoluutiolaskenta
dc.subject.ysoalgoritmit
dc.subject.ysokaaosteoria
dc.subject.ysoalgoritmiikka
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p20719
jyx.subject.urihttp://www.yso.fi/onto/yso/p28071
jyx.subject.urihttp://www.yso.fi/onto/yso/p14524
jyx.subject.urihttp://www.yso.fi/onto/yso/p6339
jyx.subject.urihttp://www.yso.fi/onto/yso/p3365
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1016/j.ins.2021.10.076
jyx.fundinginformationThe following grants are acknowledged for the financial support provided for this research: grant of SGS No. SGS SP2021/72, VSB-Technical University of Ostrava, Czech Republic, grant Pure ID 75207094 of St.Petersburg State University, Russia. The research leading to the published results was also supported by the Ministry of the Interior of the Czech Republic under grant ID VJ01010008 within the project Network Cybersecurity in Post-Quantum Era.
dc.type.okmA1


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