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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/105850
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dc.contributor.authorBonyadi, M.-
dc.contributor.authorMichalewicz, Z.-
dc.date.issued2017-
dc.identifier.citationEvolutionary Computation, 2017; 25(1):1-54-
dc.identifier.issn1063-6560-
dc.identifier.issn1530-9304-
dc.identifier.urihttp://hdl.handle.net/2440/105850-
dc.description.abstractThis paper reviews recent studies on the Particle Swarm Optimization (PSO) algorithm. The review has been focused on high impact recent articles that have analyzed and/or modified PSO algorithms. This paper also presents some potential areas for future study.-
dc.description.statementofresponsibilityMohammad Reza Bonyadi, Zbigniew Michalewicz-
dc.language.isoen-
dc.publisherMIT Press-
dc.rights© 2017 by the Massachusetts Institute of Technology-
dc.source.urihttp://dx.doi.org/10.1162/evco_r_00180-
dc.subjectParticle swarm optimization; stability analysis; local convergence; invariance; topology; parameter selection; constrained optimization-
dc.titleParticle swarm optimization for single objective continuous space problems: a review-
dc.typeJournal article-
dc.identifier.doi10.1162/EVCO_r_00180-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP130104395-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 3
Computer Science publications

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