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dc.contributor.authorChan, Kit Yan
dc.contributor.authorDillon, T.
dc.contributor.editorH.K. Lam
dc.contributor.editorS.H. Ling
dc.contributor.editorH.T. Nguyen
dc.date.accessioned2017-01-30T15:16:14Z
dc.date.available2017-01-30T15:16:14Z
dc.date.created2013-02-18T20:00:32Z
dc.date.issued2012
dc.identifier.citationChan, K.Y,. and Dillon, Tharam S. 2012. Polynomial modeling in dynamic environment based on a particle swarm optimization, in Lam, H.K. and Ling, S.H. and Nguyen, H.T. (ed), Computational intelligence and its application: Evolutionary computation, fuzzy logic, neural network and support vector machine techniques. pp. 23-38. London: Imperial College Press.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/44754
dc.description.abstract

In this chapter, a particle swarm optimization (PSO) is proposed for polynomial modeling in a dynamic environment. The basic operations of the proposed PSO are identical to the ones of the original PSO except that elements of particles represent arithmetic operations and polynomial variables of polynomial models. The performance of the proposed PSO is evaluated by polynomial modeling based on a set of dynamic benchmark functions in which their optima are dynamically moved. Results show that the proposed PSO can find significantly better polynomial models than genetic programming (GP) which is a commonly used method for polynomial modeling.

dc.publisherWorld Scientific
dc.subjectparticle swarm optimization
dc.subjectevolutionary computation
dc.subjectpolynomial modeling
dc.subjecttime-varying modeling
dc.subjecttime-varying systems
dc.titlePolynomial modeling in dynamic environment based on a particle swarm optimization
dc.typeBook Chapter
dcterms.source.startPage23
dcterms.source.endPage38
dcterms.source.titleComputational intelligence and its application: evolutionary computation, fuzzy logic, neural network and support vector machine techniques
dcterms.source.isbn9781848166912
dcterms.source.placeUK
dcterms.source.chapter12
curtin.department
curtin.accessStatusFulltext not available


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