A novel hybrid algorithm based on particle swarm and ant colony optimization for finding the global minimum

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dc.contributor.authorKiran, Mustafa Servet
dc.contributor.authorGunduz, Mesut
dc.contributor.authorBaykan, Omer Kaan
dc.date.accessioned2020-03-26T18:23:35Z
dc.date.available2020-03-26T18:23:35Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis paper presents a novel hybrid algorithm based on particle swarm optimization (PSO) and ant colony optimization (ACO) and called hybrid ant particle optimization algorithm (HAP) to find global minimum. In the proposed method, ACO and PSO work separately at each iteration and produce their solutions. The best solution is selected as the global best of the system and its parameters are used to select the new position of particles and ants at the next iteration. The performance of proposed method is compared with PSO and ACO on the benchmark problems and better quality results are obtained by HAP algorithm. (C) 2012 Elsevier Inc. All rights reserved.en_US
dc.identifier.doi10.1016/j.amc.2012.06.078en_US
dc.identifier.endpage1521en_US
dc.identifier.issn0096-3003en_US
dc.identifier.issn1873-5649en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1515en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.amc.2012.06.078
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27685
dc.identifier.volume219en_US
dc.identifier.wosWOS:000310504000010en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE INCen_US
dc.relation.ispartofAPPLIED MATHEMATICS AND COMPUTATIONen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectParticle swarm optimizationen_US
dc.subjectAnt colony optimizationen_US
dc.subjectHybrid metaheuristicen_US
dc.subjectGlobal minimumen_US
dc.titleA novel hybrid algorithm based on particle swarm and ant colony optimization for finding the global minimumen_US
dc.typeArticleen_US

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