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Chaotic Immune Symbiotic Organisms Search algorithm for solving optimisation problem

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dc.citedby2
dc.contributor.authorZamani M.K.M.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorSuliman S.I.en_US
dc.contributor.authorMustaffa S.A.S.en_US
dc.contributor.authorid57193428895en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid14034477200en_US
dc.contributor.authorid57189288788en_US
dc.date.accessioned2023-05-29T06:53:33Z
dc.date.available2023-05-29T06:53:33Z
dc.date.issued2018
dc.description.abstractAchieving an optimal solution is very crucial while solving a problem. To achieve the optimality required, optimisation techniques can be implemented while solving the problem. The presence of classical optimisation techniques has enabled an optimal solution to be obtained. However, as the complexity of the optimisation problem increased, classical optimisation techniques faced difficulties in providing optimal solutions. Heuristics-based algorithms were introduced to counter the problem faced by classical optimisation techniques. Good performance of these heuristics-based algorithm has been implied through various implementation in solving optimisation problems. Despite the performance of these algorithms, the flaws of these algorithms hinder them from producing high-quality results. To mitigate the problem, this paper presents the development of Chaotic Immune Symbiotic Organisms Search algorithm which was inspired by the element of diversification as well as the increased capability of exploration. The performance of the proposed algorithm has been tested by solving several benchmark test functions. A comparative study was also conducted with respect to several other existing optimisation algorithms resulted in the superiority of the proposed algorithm in providing high-quality solutions. � 2018 Authors.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.14419/ijet.v7i3.15.17505
dc.identifier.epage79
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85073565065
dc.identifier.spage73
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85073565065&doi=10.14419%2fijet.v7i3.15.17505&partnerID=40&md5=430794569fcb59fb7cf999112269a56a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23961
dc.identifier.volume7
dc.publisherScience Publishing Corporation Incen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Engineering and Technology(UAE)
dc.titleChaotic Immune Symbiotic Organisms Search algorithm for solving optimisation problemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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