BinEHO: a new binary variant based on elephant herding optimization algorithm

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dc.contributor.authorHakli, Huseyin
dc.date.accessioned2024-02-23T13:55:51Z
dc.date.available2024-02-23T13:55:51Z
dc.date.issued2020
dc.departmentNEÜen_US
dc.description.abstractOne of the new optimization techniques proposed in recent years is elephant herding optimization (EHO) algorithm. Despite its short history, EHO has been used to solve many engineering and real-world problems by attracting researcher attention with its advantages such as efficient global search ability, having fewer control parameters and ease of implementation. However, there is no remarkable binary variant of EHO algorithm in the literature. A new binary approach based on EHO algorithm is proposed in this study. The newer binary variant of EHO named as BinEHO is binarized with preserving the search ability of basic EHO. The main purpose of the study is to present a simple, efficient and robust binary variant which copes with different binary problems. Therefore, the proposed method is tested on three important binary optimization problems, 0-1 knapsack, uncapacitated facility location and wind turbine placement, in order to show its performance and accuracy. In addition, the BinEHO is compared with various binary variants on these problems. Experimental results and comparisons show that the BinEHO algorithm is a robust and efficient tool for binary optimization.en_US
dc.identifier.doi10.1007/s00521-020-04917-4
dc.identifier.endpage16991en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue22en_US
dc.identifier.scopus2-s2.0-85083805880en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage16971en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-020-04917-4
dc.identifier.urihttps://hdl.handle.net/20.500.12452/10982
dc.identifier.volume32en_US
dc.identifier.wosWOS:000526198700003en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBinary Optimizationen_US
dc.subjectElephant Herding Optimizationen_US
dc.subjectKnapsack Problemen_US
dc.subjectUncapacitated Facility Locationen_US
dc.titleBinEHO: a new binary variant based on elephant herding optimization algorithmen_US
dc.typeArticleen_US

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