A multi-objective artificial algae algorithm

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dc.contributor.authorBabalik, Ahmet
dc.contributor.authorOzkis, Ahmet
dc.contributor.authorUymaz, Sait Ali
dc.contributor.authorKiran, Mustafa Servet
dc.date.accessioned2020-03-26T19:52:42Z
dc.date.available2020-03-26T19:52:42Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, the authors focus on modification of the artificial algae algorithm (AAA), for multi-objective optimization. Basically, AAA is a population-based optimization algorithm inspired by the behavior of microalgae cells. In this work, a modified AAA with appropriate strategies is proposed for multi-objective Artificial Algae Algorithm (MOAAA) from the first AAA that was initially presented to solve single-objective continuous optimization problems. To the best of our knowledge, the MOAAA is the first modification of the AAA for solving multi-objective problems. Performance of the proposed algorithm is examined on a benchmark set consisting of 36 different multi-objective optimization problems and compared with four different swarm intelligence or evolutionary algorithms that are well-known in literature. The MOAAA is highly successful in solving multi-objective problems, and it has been demonstrated that the MOAAA is an alternative competitive algorithm in multi-objective optimization according to experimental results and comparisons presented in this research topic. (C) 2018 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipSelcuk University Academic Staff Training Program Coordination Unit (OYP Program) [2014-OYP-059]en_US
dc.description.sponsorshipThe authors of this study would like to thank the Scientific Research Projects Coordinatorship at Selcuk University and The Scientific and Technological Research Council of Turkey for their institutional support. The second author also wishes to thank the Selcuk University Academic Staff Training Program Coordination Unit (OYP Program, 2014-OYP-059) for the institutional support.en_US
dc.identifier.doi10.1016/j.asoc.2018.04.009en_US
dc.identifier.endpage395en_US
dc.identifier.issn1568-4946en_US
dc.identifier.issn1872-9681en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage377en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.asoc.2018.04.009
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36250
dc.identifier.volume68en_US
dc.identifier.wosWOS:000433155300028en_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.selcuk20240510_oaigen_US
dc.subjectArtificial algae algorithmen_US
dc.subjectMulti-objective optimizationen_US
dc.subjectNon-dominated sortingen_US
dc.titleA multi-objective artificial algae algorithmen_US
dc.typeArticleen_US

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