Show simple item record

dc.contributor.authorAbdollahzadeh, B
dc.contributor.authorSoleimanian Gharehchopogh, F
dc.contributor.authorMirjalili, S
dc.date.accessioned2021-07-19T03:49:14Z
dc.date.available2021-07-19T03:49:14Z
dc.date.issued2021
dc.identifier.issn0884-8173
dc.identifier.doi10.1002/int.22535
dc.identifier.urihttp://hdl.handle.net/10072/406113
dc.description.abstractMetaheuristics play a critical role in solving optimization problems, and most of them have been inspired by the collective intelligence of natural organisms in nature. This paper proposes a new metaheuristic algorithm inspired by gorilla troops' social intelligence in nature, called Artificial Gorilla Troops Optimizer (GTO). In this algorithm, gorillas' collective life is mathematically formulated, and new mechanisms are designed to perform exploration and exploitation. To evaluate the GTO, we apply it to 52 standard benchmark functions and seven engineering problems. Friedman's test and Wilcoxon rank-sum statistical tests statistically compared the proposed method with several existing metaheuristics. The results demonstrate that the GTO performs better than comparative algorithms on most benchmark functions, particularly on high-dimensional problems. The results demonstrate that the GTO can provide superior results compared with other metaheuristics.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherWiley
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto72
dc.relation.ispartofjournalInternational Journal of Intelligent Systems
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchCognitive and computational psychology
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchcode4602
dc.subject.fieldofresearchcode5204
dc.subject.fieldofresearchcode46
dc.titleArtificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationAbdollahzadeh, B; Soleimanian Gharehchopogh, F; Mirjalili, S, Artificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems, International Journal of Intelligent Systems, 2021
dc.date.updated2021-07-18T22:53:39Z
gro.description.notepublicThis publication has been entered as an advanced online version in Griffith Research Online.
gro.hasfulltextNo Full Text
gro.griffith.authorMirjalili, Seyedali


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record