Performance comparison of metaheuristic algorithms for the optimal design of space trusses

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dc.authoridSonmez, Mustafa -- 0000-0001-6703-9944
dc.contributor.authorSönmez, Mustafa
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:16:53Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:16:53Z
dc.date.issued2018
dc.departmentMühendislik Fakültesi
dc.description.abstractIn this study, eight population-based metaheuristic algorithms were employed for the design of truss structures with continuous design variables. The selected algorithms were genetic, ant colony, particle swarm, artificial bee colony, gravitational search, firefly, gray wolf optimization and Jaya. The purpose was to objectively evaluate the performance of these algorithms under the same conditions and select the best efficient algorithm by assessing three example truss structures. The results obtained from the examples showed that the algorithms were both computationally efficient and robust when the number of design variables was approximately 10 and a significant number of iterations were performed. When the number of design variables was increased to 53, artificial bee colony, Jaya and gray wolf optimization were found to be computationally more effective than the remaining algorithms.
dc.identifier.doi10.1007/s13369-018-3080-y
dc.identifier.endpage5281en_US
dc.identifier.issn2193-567X
dc.identifier.issn2191-4281
dc.identifier.issue10en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage5265en_US
dc.identifier.urihttps://doi.org/10.1007/s13369-018-3080-y
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4669
dc.identifier.volume43en_US
dc.identifier.wosWOS:000443205500019
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofArabian Journal For Science and Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectGenetic Algorithm
dc.subjectAnt Colony Optimization
dc.subjectArtificial Bee Colony
dc.subjectGray Wolf Optimization
dc.subjectFirefly Algorithms
dc.subjectGravitational Search Algorithm
dc.subjectJaya
dc.titlePerformance comparison of metaheuristic algorithms for the optimal design of space trusses
dc.typeArticle

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