A cooperative system for metaheuristic algorithms

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dc.contributor.authorTezel, B.T.
dc.contributor.authorMert, A.
dc.date.accessioned2020-12-01T11:52:15Z
dc.date.available2020-12-01T11:52:15Z
dc.date.issued2021
dc.departmentEge Üniversitesien_US
dc.description.abstractOptimization problems are defined as the functions whereby the target is to find the optimum state depending on the parameters that have certain limitations. In the field of optimization, the aim is to find from among multiple alternative solutions the optimal solution or approximate solution that provides all the restrictions. Metaheuristic is an extremely effective method to find approximate solutions to optimization problems. However, when metaheuristics are used, there occurs an algorithm selection problem. This problem involves decision-making about which algorithm is to be used to solve the existing optimization problem with maximum performance. The objective of this study is to use a cooperative system that combines different metaheuristics to successfully deal with algorithm selection problems. An intelligent combination of different metaheuristics is expected to provide more flexible, more efficient and more robust approaches. However, such a combination requires less precision. The combination is generated through a methodology designed with soft computing. In addition to the algorithm selection problem, the adjustment of algorithm parameters has significant importance in obtaining good results. For this reason, the cooperative system proposed in this study offers fine-tuning of parameters based on soft computing techniques. © 2020 Elsevier Ltden_US
dc.identifier.doi10.1016/j.eswa.2020.113976
dc.identifier.issn0957-4174
dc.identifier.issn0957-4174en_US
dc.identifier.scopus2-s2.0-85090574514en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2020.113976
dc.identifier.urihttps://hdl.handle.net/11454/61475
dc.identifier.volume165en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofExpert Systems with Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy inference systemen_US
dc.subjectIntelligent systemen_US
dc.subjectMetaheuristicen_US
dc.subjectOptimizationen_US
dc.subjectSoft computingen_US
dc.titleA cooperative system for metaheuristic algorithmsen_US
dc.typeArticleen_US

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