An efficient many-objective evolutionary algorithm for ecological optimization problems

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dc.contributor.authorSafi, H.H.
dc.contributor.authorUcan, Osman Nuri
dc.contributor.authorBayat, Oğuz
dc.date.accessioned2021-05-15T12:50:06Z
dc.date.available2021-05-15T12:50:06Z
dc.date.issued2018
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractEcological problems are becoming more and more important in the engineering society and their importance are expected to be increased in the next century. Many ecological problems have more than one objective function in nature which makes it difficult to solve such problems using traditional single objective optimization algorithms. In this paper, we propose a new evolutionary algorithm based on the NSGA-II algorithm to efficiently solve the many-objective ecological optimization problems. The proposed algorithm uses three schemes to enhance the performance of NSGA-II algorithm to solve Many-objective ecological optimization problems. A new efficient sorting method, smart archive and simple local search are used to speed up the solutions convergence process to the POF and enhance the diversity of the solutions. The proposed method is general and can be adapted to a wide range of ecological optimization problems. The proposed algorithm is compared with the state-of-the-art multi-objective optimization algorithms using five DTLZ test problems. The results show that our proposed algorithm significantly outperforms the other algorithms when the number of objective functions is high. © 2018, Universidad del Zulia. All rights reserved.en_US
dc.identifier.endpage2404en_US
dc.identifier.issn1012-1587
dc.identifier.issue85en_US
dc.identifier.scopus2-s2.0-85062732727
dc.identifier.scopusqualityN/A
dc.identifier.startpage2388en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/1184
dc.identifier.volume34en_US
dc.indekslendigikaynakScopus
dc.institutionauthorUcan, Osman Nuri
dc.institutionauthorBayat, Oğuz
dc.institutionauthorSafi, H.H.
dc.language.isoen
dc.publisherUniversidad del Zuliaen_US
dc.relation.ispartofOpcion
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEvolutionary Algorithmsen_US
dc.subjectMany-Objective Optimization Problemsen_US
dc.subjectMulti-Objective Problemsen_US
dc.subjectNSGA-IIen_US
dc.titleAn efficient many-objective evolutionary algorithm for ecological optimization problems
dc.title.alternative[Algoritmo evolutivo eficiente de muchos objetivos para problemas de optimización ecológica]
dc.typeArticle

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