Repeating Successful Movement Strategy for ABC Algorithm

dc.contributor.authorKocer, Baris
dc.date.accessioned2020-03-26T19:42:29Z
dc.date.available2020-03-26T19:42:29Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractABC is a well-known nature inspired algorithm. In short ABC algorithm mimics the foraging behavior of the bee colonies. ABC is very intensively worked algorithm. It has many variants. The base algorithm and most of the variants uses an update equation to improve the solutions. The update equation finds a feasible movement based on neighbor solutions and adds that movement to current to create a mutant solution. If the mutant solution is better than the original one then original solution is updated. None of the ABC variant use a successful movement again. In this work when a successful move found then it is used again. Proposed approach is applied to ABCVSS algorithm which is a recently proposed ABC variant and that modified ABCVSS algorithm (ABCVSSRSM) is tested on numerical benchmark functions and results compared the well-known ABC variants. Results show that proposed method is superior under multiple criteria.en_US
dc.identifier.doi10.4316/AECE.2017.03011en_US
dc.identifier.endpage94en_US
dc.identifier.issn1582-7445en_US
dc.identifier.issn1844-7600en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage85en_US
dc.identifier.urihttps://dx.doi.org/10.4316/AECE.2017.03011
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35436
dc.identifier.volume17en_US
dc.identifier.wosWOS:000410369500011en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherUNIV SUCEAVA, FAC ELECTRICAL ENGen_US
dc.relation.ispartofADVANCES IN ELECTRICAL AND COMPUTER ENGINEERINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectartificial intelligenceen_US
dc.subjectmachine learningen_US
dc.subjectevolutionary computationen_US
dc.subjectparticle swarm optimizationen_US
dc.subjectmachine intelligenceen_US
dc.titleRepeating Successful Movement Strategy for ABC Algorithmen_US
dc.typeArticleen_US

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