Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Polynomial modeling in dynamic environment based on a particle swarm optimization

    Access Status
    Fulltext not available
    Authors
    Chan, Kit Yan
    Dillon, T.
    Date
    2012
    Type
    Book Chapter
    
    Metadata
    Show full item record
    Citation
    Chan, 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.
    Source Title
    Computational intelligence and its application: evolutionary computation, fuzzy logic, neural network and support vector machine techniques
    ISBN
    9781848166912
    URI
    http://hdl.handle.net/20.500.11937/44754
    Collection
    • Curtin Research Publications
    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.

    Related items

    Showing items related by title, author, creator and subject.

    • Polynomial modeling for time-varying systems based on a particle swarm optimization algorithm
      Chan, Kit Yan; Dillon, Tharam; Kwong, C. (2011)
      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 ...
    • Multi-scale modelling of Gibbsite calcination in a fluidized bed reactor
      Amiri, Amirpiran (2013)
      The alumina industry provides the feedstock for aluminium metal production and contributes to around A$6 billion of Australian exports annually. One of the most energy-intensive parts of alumina production, with a strong ...
    • Modelling and simulation of carbon-in-leach circuits
      Wadnerkar, Divyamaan (2013)
      A CIL circuit is a process of continuous leaching of gold from ore to liquid using a counter-current adsorption of gold from liquid to carbon particles in a series of tanks. It concentrates gold from 2.5-3.5 g/t in ore ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.