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A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem

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dc.citedby13
dc.contributor.authorYap D.F.W.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorPrajindra S.K.en_US
dc.contributor.authorid22952562500en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid36053261400en_US
dc.date.accessioned2023-12-28T06:30:27Z
dc.date.available2023-12-28T06:30:27Z
dc.date.issued2012
dc.description.abstractLately, the field of Artificial Immune Systems (AIS) has attracted wide attention among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS is rather slow as compared to other Evolutionary Algorithms. Alternatively, Particle Swarm Optimization (PSO) has been used effectively in solving complicated optimization problems with simple coding and lesser parameters, but it tends to converge prematurely. Thus, the good features of AIS and PSO are combined in ordertoreduce their shortcomings. By comparing the optimization results of the mathematical functions and the engineering problem using hybrid AIS (HAIS) and AIS, it is observed that HAIS has better performances in terms of accuracy, convergence rate and stability. � Springer Science+Business Media B.V. 2011.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s10462-011-9252-8
dc.identifier.epage301
dc.identifier.issue4
dc.identifier.scopus2-s2.0-84870238348
dc.identifier.spage291
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84870238348&doi=10.1007%2fs10462-011-9252-8&partnerID=40&md5=4db0a037b794be90e5e11ed221775392
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29540
dc.identifier.volume38
dc.pagecount10
dc.sourceScopus
dc.sourcetitleArtificial Intelligence Review
dc.subjectArtificial immune system
dc.subjectDiversity
dc.subjectEngineering problem
dc.subjectOptimization
dc.subjectParticle swarm optimization
dc.subjectApproximation theory
dc.subjectFunctions
dc.subjectOptimization
dc.subjectParticle swarm optimization (PSO)
dc.subjectArtificial Immune System
dc.subjectConvergence rates
dc.subjectDiversity
dc.subjectEngineering problems
dc.subjectLocal searching
dc.subjectMathematical functions
dc.subjectMultimodal function optimization
dc.subjectOptimization problems
dc.subjectRate of convergence
dc.subjectProblem solving
dc.titleA hybrid artificial immune systems for multimodal function optimization and its application in engineering problemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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