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dc.contributor.authorMirjalili, Seyedali
dc.contributor.authorJangir, Pradeep
dc.contributor.authorMirjalili, Seyedeh Zahra
dc.contributor.authorSaremi, Shahrzad
dc.contributor.authorTrivedi, Indrajit N
dc.date.accessioned2018-09-28T00:28:15Z
dc.date.available2018-09-28T00:28:15Z
dc.date.issued2017
dc.identifier.issn0950-7051
dc.identifier.doi10.1016/j.knosys.2017.07.018
dc.identifier.urihttp://hdl.handle.net/10072/350462
dc.description.abstractThis work proposes the multi-objective version of the recently proposed Multi-Verse Optimizer (MVO) called Multi-Objective Multi-Verse Optimizer (MOMVO). The same concepts of MVO are used for converging towards the best solutions in a multi-objective search space. For maintaining and improving the coverage of Pareto optimal solutions obtained, however, an archive with an updating mechanism is employed. To test the performance of MOMVO, 80 case studies are employed including 49 unconstrained multi-objective test functions, 10 constrained multi-objective test functions, and 21 engineering design multi-objective problems. The results are compared quantitatively and qualitatively with other algorithms using a variety of performance indicators, which show the merits of this new MOMVO algorithm in solving a wide range of problems with different characteristics.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherElsevier
dc.relation.ispartofpagefrom50
dc.relation.ispartofpageto71
dc.relation.ispartofjournalKnowledge-Based Systems
dc.relation.ispartofvolume134
dc.subject.fieldofresearchInformation and Computing Sciences not elsewhere classified
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchCommerce, Management, Tourism and Services
dc.subject.fieldofresearchPsychology and Cognitive Sciences
dc.subject.fieldofresearchcode089999
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode15
dc.subject.fieldofresearchcode17
dc.titleOptimization of problems with multiple objectives using the multi-verse optimization algorithm
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.versionAccepted Manuscript (AM)
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.rights.copyright© 2017 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorSaremi, Shahrzad
gro.griffith.authorMirjalili, Seyedali


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