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dc.contributor.authorLu, Q
dc.contributor.authorHan, QL
dc.contributor.authorLiu, S
dc.date.accessioned2018-03-09T02:52:09Z
dc.date.available2018-03-09T02:52:09Z
dc.date.issued2016
dc.identifier.issn1089-778X
dc.identifier.doi10.1109/TEVC.2016.2526656
dc.identifier.urihttp://hdl.handle.net/10072/236862
dc.description.abstractThis paper deals with the problem of odor source localization by designing and analyzing a cooperative control framework (CCF) for the particle swarm optimization (PSO) algorithm. The CCF consists of three items: 1) a position coordination item; 2) a velocity coordination item; and 3) a movement direction coordination item. The position coordination item is used to coordinate relative positions between particles and to improve the exploration and exploitation capabilities of particles. The velocity coordination item enables the velocities of particles to reach consensus in order to realize orderly movement behaviors of particles. The movement direction coordination item guides particles to trace plumes and to locate odor sources. Stability of dynamic systems of particles with the proposed CCF is analyzed and the corresponding stability conditions are given such that the functions of three items in the CCF are realized. The orderly movement behaviors of particles under the CCF are also investigated based on benchmark functions. Finally, the effectiveness of the PSO algorithm with the proposed CCF is illustrated for the problem of odor source localization.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers ( IEEE )
dc.relation.ispartofpagefrom859
dc.relation.ispartofpageto873
dc.relation.ispartofissue6
dc.relation.ispartofjournalIEEE Transactions on Evolutionary Computation
dc.relation.ispartofvolume20
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classified
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchInformation Systems
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchcode080199
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode0806
dc.subject.fieldofresearchcode0906
dc.titleA Cooperative Control Framework for a Collective Decision on Movement Behaviors of Particles
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorHan, Qing-Long


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