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Chaotic attractors of discrete dynamical systems used in the core of evolutionary algorithms: state of art and perspectives

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dc.title Chaotic attractors of discrete dynamical systems used in the core of evolutionary algorithms: state of art and perspectives en
dc.contributor.author Zelinka, Ivan
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Journal of Difference Equations and Applications
dc.identifier.issn 1023-6198 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 1563-5120 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2023
dc.type article
dc.language.iso en
dc.publisher Taylor and Francis Ltd.
dc.identifier.doi 10.1080/10236198.2023.2220416
dc.relation.uri https://www.tandfonline.com/doi/full/10.1080/10236198.2023.2220416
dc.relation.uri https://www.tandfonline.com/doi/epdf/10.1080/10236198.2023.2220416?needAccess=true&role=button
dc.subject deterministic chaos en
dc.subject chaotic maps en
dc.subject discrete chaotic dynamical systems en
dc.subject evolution algorithms en
dc.subject metaheuristics en
dc.subject swarm intelligence en
dc.description.abstract This paper delves into the intersection between discrete dynamical systems and bio-inspired metaheuristic algorithms. Chaos, an inherent phenomenon manifested by both continuous and discrete dynamic nonlinear systems has become an essential component of engineering design. This study examines the relationship between chaos and bio-inspired metaheuristic algorithms from two distinct angles: the presence of chaos within the realm of algorithms, and the application of bio-inspired algorithms for the identification, control, or synthesis of complex systems. Furthermore, this paper offers an in-depth exploration of the interplay between metaheuristics and complex nonlinear dynamics, including potential avenues for future research. The presented simulation studies, along with the design of objective functions for optimization and the implementation of metaheuristics, serve as a valuable foundation for subsequent experiments involving discrete nonlinear systems and complex systems with time delays. Such systems may benefit from multiparametric or multicriteria optimization approaches, paving the way for novel advancements in the field. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1011622
utb.identifier.obdid 43885022
utb.identifier.scopus 2-s2.0-85163649438
utb.identifier.wok 001018080600001
utb.source j-scopus
dc.date.accessioned 2023-09-05T23:17:40Z
dc.date.available 2023-09-05T23:17:40Z
dc.description.sponsorship SGS [SP2023/050]; VSB-Technical University of Ostrava, Czech Republic; Grant Agency of Czech Republic (GACR) [GF21-45465L]; Faculty of Applied Informatics, Tomas Bata University in Zlin
utb.ou A.I.Lab
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Ivan Zelinka a,b and Roman Senkerik c a Department of Computer Science, VSB Technical University of Ostrava, Ostrava-Poruba, Czech Republic; b IT4Innovations, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic; c A.I.Lab, Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlín, Czech Republic
utb.fulltext.dates Received 14 December 2022 Accepted 25 May 2023 Published online: 28 Jun 2023
utb.fulltext.sponsorship Supported by a grant of SGS No. SP2023/050, VSB-Technical University of Ostrava, Czech Republic, by the Grant Agency of Czech Republic (GACR) project No. GF21-45465L, and further by theresources of A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin.
utb.wos.affiliation [Zelinka, Ivan] VSB Tech Univ Ostrava, Dept Comp Sci, Ostrava, Czech Republic; [Zelinka, Ivan] VSB Tech Univ Ostrava, IT4Innovat, Ostrava, Czech Republic; [Senkerik, Roman] Tomas Bata Univ Zlin, Fac Appl Informat, AI Lab, Zlin, Czech Republic; [Senkerik, Roman] Tomas Bata Univ Zlin, Fac Appl Informat, AI Lab, TG Masaryka 5555, Zlin 76001, Czech Republic
utb.scopus.affiliation Department of Computer Science, VSB Technical University of Ostrava, Ostrava-Poruba, Czech Republic; IT4Innovations, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic; A.I.Lab, Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlín, Czech Republic
utb.fulltext.projects SP2023/050
utb.fulltext.projects GF21-45465L
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Informatics and Artificial Intelligence
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