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dc.contributor.authorKiani, Farzad
dc.contributor.authorNematzadeh, Sajjad
dc.contributor.authorAnka, Fateme Ayşin
dc.contributor.authorFındıklı, Mine Afacan
dc.date.accessioned2023-06-09T08:04:03Z
dc.date.available2023-06-09T08:04:03Z
dc.date.issued2023en_US
dc.identifier.citationKİANİ, Farzad, Sajjad NEMATZADEH, Fateme Ayşin ANKA & Mine AFACAN FINDIKLI. "Chaotic Sand Cat Swarm Optimization". Mathematics, 11.10 (2023): 2340.en_US
dc.identifier.urihttps://www.mdpi.com/2227-7390/11/10/2340
dc.identifier.urihttps://hdl.handle.net/11352/4567
dc.description.abstractIn this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm Optimization (CSCSO) is proposed for constrained and complex optimization problems. This algorithm combines the features of the recently introduced SCSO with the concept of chaos. The basic aim of the proposed algorithm is to integrate the chaos feature of non-recurring locations into SCSO’s core search process to improve global search performance and convergence behavior. Thus, randomness in SCSO can be replaced by a chaotic map due to similar randomness features with better statistical and dynamic properties. In addition to these advantages, low search consistency, local optimum trap, inefficiency search, and low population diversity issues are also provided. In the proposed CSCSO, several chaotic maps are implemented for more efficient behavior in the exploration and exploitation phases. Experiments are conducted on a wide variety of well-known test functions to increase the reliability of the results, as well as real-world problems. In this study, the proposed algorithm was applied to a total of 39 functions and multidisciplinary problems. It found 76.3% better responses compared to a best-developed SCSO variant and other chaotic-based metaheuristics tested. This extensive experiment indicates that the CSCSO algorithm excels in providing acceptable results.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.isversionof10.3390/math11102340en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectChaotic Sand Cat Swarm Optimizationen_US
dc.subjectChaotic Mapsen_US
dc.subjectConstrained Problemsen_US
dc.subjectMultidisciplinary Problemsen_US
dc.subjectHybrid Metaheuristicsen_US
dc.titleChaotic Sand Cat Swarm Optimizationen_US
dc.typearticleen_US
dc.relation.journalMathematicsen_US
dc.contributor.departmentFSM Vakıf Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.contributor.authorIDhttps://orcid.org/0000-0002-0354-9344en_US
dc.contributor.authorIDhttps://orcid.org/0000-0001-5064-2181en_US
dc.contributor.authorIDhttps://orcid.org/0000-0002-2795-6438en_US
dc.contributor.authorIDhttps://orcid.org/0000-0003-1021-6641en_US
dc.identifier.volume11en_US
dc.identifier.issue10en_US
dc.identifier.startpage2340en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorKiani, Farzad


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