Cost optimization of mixed feeds with the particle swarm optimization method

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dc.contributor.authorAltun, Adem Alpaslan
dc.contributor.authorSahman, Mehmet Akif
dc.date.accessioned2020-03-26T18:41:24Z
dc.date.available2020-03-26T18:41:24Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, the best mixed feed was prepared by using the algorithm of particle swarm optimization (PSO) and by taking into account the breeding type and method of the poultries and various farm animals (cattle, sheep, rabbit), their needs, ages, and feeding costs and optimizing them all. Results obtained through PSO were compared through linear programming and real-coded genetic algorithm. According to the results that were obtained, PSO produces more rapid, more stable, and optimum values.en_US
dc.identifier.doi10.1007/s00521-011-0701-8en_US
dc.identifier.endpage390en_US
dc.identifier.issn0941-0643en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage383en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s00521-011-0701-8
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29339
dc.identifier.volume22en_US
dc.identifier.wosWOS:000313657600021en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGERen_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.selcuk20240510_oaigen_US
dc.subjectMixed feeden_US
dc.subjectParticle swarm optimizationen_US
dc.subjectReal-coded genetic algorithmen_US
dc.subjectLinear programmingen_US
dc.subjectCost optimizationen_US
dc.titleCost optimization of mixed feeds with the particle swarm optimization methoden_US
dc.typeArticleen_US

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