Polynomial modeling for time-varying systems based on a particle swarm optimization algorithm

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Polynomial modeling for time-varying systems based on a particle swarm optimization algorithm

In this paper, an effective particle swarm optimization (PSO) is proposed for polynomial models for time varying systems. The basic operations of the proposed PSO are similar to those of the classical PSO except that elements of particles represent arithmetic operations and variables of time-varying...

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Bibliographic Details
Main Authors:	Chan, Kit Yan, Dillon, Tharam, Kwong, C.
Format:	Journal Article
Published:	Elsevier Inc 2011
Subjects:	polynomial modeling genetic programming time-varying systems Particle swarm optimization
Online Access:	http://hdl.handle.net/20.500.11937/28194

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