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dc.contributor.authorAbderazek, Hammoudi
dc.contributor.authorYildiz, Ali Riza
dc.contributor.authorMirjalili, Seyedali
dc.date.accessioned2020-01-24T01:19:39Z
dc.date.available2020-01-24T01:19:39Z
dc.date.issued2020
dc.identifier.issn0950-7051
dc.identifier.doi10.1016/j.knosys.2019.105237
dc.identifier.urihttp://hdl.handle.net/10072/390850
dc.description.abstractThis study presents the application of seven recent meta-heuristic optimization algorithms to automate design of disk cam mechanism with translating roller follower regarding four follower motion laws. The algorithms are: salp swarm algorithm (SSA), moth–flame optimization (MFO), ant lion optimizer (ALO), multi verse optimizer (MVO), grey wolf optimizer (GWO), evaporation rate water cycle algorithm (ER-WCA), and mine blast algorithm (MBA). The optimum cam design problem is formulated with three objectives including the minimum congestion, maximum performance, and maximum strength resistance of the cam. Moreover, the effect of selecting follower motion law on the optimal design of mechanism is investigated. The computational results clearly indicate that the utilized algorithms are very competitive in structural design optimization, especially MBA, ER-WCA, MFO and GWO techniques. Among the four follower motion laws, the polynomial 3-4-5 degree is the best one.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom105237
dc.relation.ispartofpageto105237
dc.relation.ispartofjournalKnowledge-Based Systems
dc.subject.fieldofresearchPsychology
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchData management and data science
dc.subject.fieldofresearchMachine learning
dc.subject.fieldofresearchcode52
dc.subject.fieldofresearchcode4602
dc.subject.fieldofresearchcode4605
dc.subject.fieldofresearchcode4611
dc.titleComparison of recent optimization algorithms for design optimization of a cam-follower mechanism
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationAbderazek, H; Yildiz, AR; Mirjalili, S, Comparison of recent optimization algorithms for design optimization of a cam-follower mechanism, Knowledge-Based Systems, 2019, pp. 105237-105237
dc.date.updated2020-01-24T01:17:24Z
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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