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dc.contributor.authorYildiz, AR
dc.contributor.authorAbderazek, H
dc.contributor.authorMirjalili, S
dc.date.accessioned2019-08-29T01:10:20Z
dc.date.available2019-08-29T01:10:20Z
dc.date.issued2019
dc.identifier.issn1134-3060
dc.identifier.doi10.1007/s11831-019-09343-x
dc.identifier.urihttp://hdl.handle.net/10072/386763
dc.description.abstractSolving practical mechanical problems is considered as a real challenge for evaluating the efficiency of newly developed algorithms. The present article introduces a comparative study on the application of ten recent meta-heuristic approaches to optimize the design of six mechanical engineering optimization problems. The algorithms are: the artificial bee colony (ABC), particle swarm optimization (PSO) algorithm, moth-flame optimization (MFO), ant lion optimizer (ALO), water cycle algorithm (WCA), evaporation rate WCA (ER-WCA), grey wolf optimizer (GWO), mine blast algorithm (MBA), whale optimization algorithm (WOA) and salp swarm algorithm (SSA). The performances of the algorithms are tested quantitatively and qualitatively using convergence speed, solution quality, and the robustness. The experimental results on the six mechanical problems demonstrate the efficiency and the ability of the algorithms used in this article.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.relation.ispartofjournalArchives of Computational Methods in Engineering
dc.subject.fieldofresearchMathematical sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode49
dc.subject.fieldofresearchcode40
dc.titleA Comparative Study of Recent Non-traditional Methods for Mechanical Design Optimization
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationYildiz, AR; Abderazek, H; Mirjalili, S, A Comparative Study of Recent Non-traditional Methods for Mechanical Design Optimization, Archives of Computational Methods in Engineering, 2019
dc.date.updated2019-08-29T01:05:49Z
gro.description.notepublicThis publication has been entered into Griffith Research Online as an Advanced Online Version.
gro.hasfulltextNo Full Text
gro.griffith.authorMirjalili, Seyedali


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