Parameter optimization of chaotic system using Pareto-based triple objective artificial bee colony algorithm

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dc.authorid0000-0002-2481-0230en_US
dc.contributor.authorToktaş, Abdurrahim
dc.contributor.authorErkan, Uğur
dc.contributor.authorÜstün, Deniz
dc.contributor.authorWang, Xingyuan
dc.date.accessioned2023-03-29T06:21:53Z
dc.date.available2023-03-29T06:21:53Z
dc.date.issued2023en_US
dc.departmentKMÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractChaotic map is a kind of discrete chaotic system. The existing chaotic maps suffer from optimal parameters in terms of chaos measurements. In this study, a novel approach of optimization of parametric chaotic map (PCM) using triple objective optimization is presented for the first time. A PCM with six parameters is first conceived and then optimized using Pareto-based triple objective artificial bee colony (PT-ABC) algorithm. Pareto optimality is employed to catch the trade-off among the objectives: Lyapunov exponent (LE), sample entropy (SE), and Kolmogorov entropy (KE). A global optimal design including the six parameters is selected for minimizing the reciprocal of the three objectives independently. The chaotic performance of PCM is verified through an evaluation with bifurcation diagram, attractor, LE, SE, KE, and correlation dimension. The results are also validated by comparison with those of which reported elsewhere. Furthermore, the applicability of PCM is examined over image encryption and the results are compared with existing chaos-based IEs. Therefore, the PCM manifests the best ergodicity and complexity thanks to its PT-ABC algorithm.en_US
dc.identifier.citationToktaş, A., Erkan, U., Üstün, D., & Wang, X. (2023). Parameter optimization of chaotic system using pareto-based triple objective artificial bee colony algorithm. Neural Computing and Applications, doi:10.1007/s00521-023-08434-yen_US
dc.identifier.doi10.1007/s00521-023-08434-y
dc.identifier.issn0941-0643
dc.identifier.scopus2-s2.0-85149758719
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s00521-023-08434-y
dc.identifier.urihttps://hdl.handle.net/11492/7087
dc.identifier.wosWOS:000947298400007
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.institutionauthorErkan, Uğur
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.journalNeural Computing and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectChaotic Systemen_US
dc.subjectImage Encryptionen_US
dc.subjectMulti-Objective Optimizationen_US
dc.subjectPareto Optimizationen_US
dc.titleParameter optimization of chaotic system using Pareto-based triple objective artificial bee colony algorithmen_US
dc.typeArticle

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