Publication:
Analysis of the effect of search step size on the accuracy and convergence properties of electromagnetism-like mechanism algorithm

dc.citedby4
dc.contributor.authorTan J.D.en_US
dc.contributor.authorDahari M.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorKoay Y.Y.en_US
dc.contributor.authorAbed I.A.en_US
dc.contributor.authorid38863172300en_US
dc.contributor.authorid36975118700en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid57189626122en_US
dc.contributor.authorid55568292900en_US
dc.date.accessioned2023-05-29T06:40:35Z
dc.date.available2023-05-29T06:40:35Z
dc.date.issued2017
dc.descriptionBenchmarking; Global optimization; Convergence performance; Convergence properties; Electromagnetism-like mechanism algorithms; Global optimization problems; Meta-heuristic search algorithms; Metaheuristic; Modified algorithms; Search steps; Optimizationen_US
dc.description.abstractAn Electromagnetism-like Mechanism algorithm (EM) is a metaheuristic search algorithm known for its ability to solve complex global optimization problems. In a standard EM, the size of the search steps is randomly determined. In this paper, an investigation is carried out to analyze the effects of search step size on the overall convergence performance of EM. A standard EM is modified into two different sets of algorithms with different extremes of search step sizes. The modified algorithms are then tested in 10 standard benchmark functions to evaluate the effect of search step sizes on the performance of each. The results show that the modified EM with smaller search steps performed a much more detailed search for possible solutions in all dimensions. This enabled the overall convergence to achieve relatively higher accuracy in objective values. �2017 Old City Publishing, Inc.en_US
dc.description.natureFinalen_US
dc.identifier.epage441
dc.identifier.issue4-May
dc.identifier.scopus2-s2.0-85018730151
dc.identifier.spage429
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85018730151&partnerID=40&md5=90faa5ed45e08804a42611a26ce513e8
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23450
dc.identifier.volume28
dc.publisherOld City Publishingen_US
dc.sourceScopus
dc.sourcetitleJournal of Multiple-Valued Logic and Soft Computing
dc.titleAnalysis of the effect of search step size on the accuracy and convergence properties of electromagnetism-like mechanism algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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