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A swarm-based artificial immune system for solving multimodal functions

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dc.citedby3
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.accessioned2023-12-28T07:05:43Z
dc.date.available2023-12-28T07:05:43Z
dc.date.issued2011
dc.description.abstractArtificial Immune Systems (AIS) have attracted enormous attention among researchers because the algorithms are able to improve global searching ability and efficiency. Nevertheless, the rate of convergence for AIS is relatively slow compared to other metaheuristic algorithms. On the other hand, genetic algorithms (GAs) and particle swarm optimization (PSO) have been used successfully in solving optimization problems, although they tend to converge prematurely. Therefore, the good attributes of AIS and PSO are merged in order to reduce this limitation. It is observed that the proposed hybrid AIS (HAIS) achieved better performances in terms of convergence rate, accuracy, and stability against GA and AIS by comparing the optimization results of the mathematical functions. A similar result was achieved by HAIS in the engineering problem when compared to GA, PSO, and AIS. Copyright � 2011 Taylor & Francis Group, LLC.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1080/08839514.2011.606662
dc.identifier.epage707
dc.identifier.issue8
dc.identifier.scopus2-s2.0-80053075801
dc.identifier.spage693
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-80053075801&doi=10.1080%2f08839514.2011.606662&partnerID=40&md5=8e666b07b70298ee1f3a2212103c44e6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29587
dc.identifier.volume25
dc.pagecount14
dc.relation.ispartofAll Open Access; Bronze Open Access
dc.sourceScopus
dc.sourcetitleApplied Artificial Intelligence
dc.subjectApproximation theory
dc.subjectConvergence of numerical methods
dc.subjectFunctions
dc.subjectGenetic algorithms
dc.subjectImmunology
dc.subjectArtificial Immune System
dc.subjectConvergence rates
dc.subjectEngineering problems
dc.subjectGlobal searching ability
dc.subjectMathematical functions
dc.subjectMeta heuristic algorithm
dc.subjectMulti modal function
dc.subjectOptimization problems
dc.subjectRate of convergence
dc.subjectParticle swarm optimization (PSO)
dc.titleA swarm-based artificial immune system for solving multimodal functionsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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