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A comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions

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dc.citedby2
dc.contributor.authorYap D.F.W.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorid22952562500en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid15128307800en_US
dc.date.accessioned2023-12-28T07:30:43Z
dc.date.available2023-12-28T07:30:43Z
dc.date.issued2009
dc.description.abstractOver the years, the area of Artificial Immune Systems (AIS) has drawn wide attention among researchers as the algorithm is able to enhance local searching ability and efficiency. Alternatively, Particle Swarm Optimization (PSO) has been used effectively in solving optimization problems. This paper compares the optimization results of the mathematical functions using AIS and PSO. The numerical results show that both PSO and AIS give comparable fitness solutions with the former performing about 56 percent faster than the latter. Conversely, for simpler mathematical functions, AIS performs marginally faster than PSO at about 14 percent while maintaining good accuracy of the objective value. � 2009, INSInet Publication.en_US
dc.description.natureFinalen_US
dc.identifier.epage4350
dc.identifier.issue4
dc.identifier.scopus2-s2.0-77953484173
dc.identifier.spage4344
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77953484173&partnerID=40&md5=c1364477b723b565a8f2a79be196e44a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29669
dc.identifier.volume3
dc.pagecount6
dc.sourceScopus
dc.sourcetitleAustralian Journal of Basic and Applied Sciences
dc.subjectAffinity and maturation
dc.subjectArtificial immune systems
dc.subjectClonal selection
dc.subjectParticle swarm optimization
dc.titleA comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functionsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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