A new algorithm based on gray wolf optimizer and shuffled frog leaping algorithm to solve the multi-objective optimization problems

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dc.contributor.authorKarakoyun, Murat
dc.contributor.authorOzkis, Ahmet
dc.contributor.authorKodaz, Halife
dc.date.accessioned2024-02-23T14:02:10Z
dc.date.available2024-02-23T14:02:10Z
dc.date.issued2020
dc.departmentNEÜen_US
dc.description.abstractMulti-objective optimization is many important since most of the real world problems are in multiobjective category. Looking at the literature, the algorithms proposed for the solution of multi-objective problems have increased in recent years, but there is no a convenient approach for all kind of problems. Therefore, researchers aim to contribute to the literature by offering new approaches. In this study, an algorithm based on gray wolf optimizer (GWO) with memeplex structure of the shuffled frog leaping algorithm (SFLA), which is named as multi-objective shuffled GWO (MOSG), is proposed to solve the multi-objective optimization problems. Additionally, some modifications are applied on the proposed algorithm to improve the performance from different angles. The performance of the proposed algorithm is compared with the performance of six multi-objective algorithms on a benchmark set consist of 36 problems. The experimental results are presented with four different comparison metrics and statistical tests. According to the results, it can easily be said that the proposed algorithm is generally successful to solve the multi-objective problems and has better or competitive results. (C) 2020 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.asoc.2020.106560
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85089064029en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2020.106560
dc.identifier.urihttps://hdl.handle.net/20.500.12452/11617
dc.identifier.volume96en_US
dc.identifier.wosWOS:000582762000004en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGray Wolf Optimizeren_US
dc.subjectLevy Flighten_US
dc.subjectMulti-Objective Optimizationen_US
dc.subjectFast-Non-Dominated-Sortingen_US
dc.subjectPareto Theoremen_US
dc.titleA new algorithm based on gray wolf optimizer and shuffled frog leaping algorithm to solve the multi-objective optimization problemsen_US
dc.typeArticleen_US

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