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

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@Article{Chan20111623,
  author =       "Kit Yan Chan and Tharam S. Dillon and C. K. Kwong",
  title =        "Polynomial modeling for time-varying systems based on
                 a particle swarm optimization algorithm",
  journal =      "Information Sciences",
  volume =       "181",
  number =       "9",
  pages =        "1623--1640",
  year =         "2011",
  ISSN =         "0020-0255",
  DOI =          "doi:10.1016/j.ins.2011.01.006",
  URL =          "http://www.sciencedirect.com/science/article/B6V0C-51X1VSV-7/2/12b12f977248967cf70b6cfd1dc37507",
  keywords =     "genetic algorithms, genetic programming, PSO, Particle
                 swarm optimisation, Time-varying systems, Polynomial
                 modelling",
  abstract =     "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 models. The
                 performance of the proposed PSO is evaluated by
                 polynomial modelling based on various sets of
                 time-invariant and time-varying data. Results of
                 polynomial modeling in time-varying systems show that
                 the proposed PSO outperforms commonly used modelling
                 methods which have been developed for solving dynamic
                 optimisation problems including genetic programming
                 (GP) and dynamic GP. An analysis of the diversity of
                 individuals of populations in the proposed PSO and GP
                 reveals why the proposed PSO obtains better results
                 than those obtained by GP.",
}

Genetic Programming entries for Kit Yan Chan Tharam S Dillon Che Kit Kwong

Citations