Takagi-Sugeno fuzzy modelling of some nonlinear problems using ant colony programming

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@Article{Kamali:2017:AMM,
  author =       "M. Z. M. Kamali and N. Kumaresan and Kuru Ratnavelu",
  title =        "Takagi-Sugeno fuzzy modelling of some nonlinear
                 problems using ant colony programming",
  journal =      "Applied Mathematical Modelling",
  volume =       "48",
  pages =        "635--654",
  year =         "2017",
  ISSN =         "0307-904X",
  DOI =          "doi:10.1016/j.apm.2017.04.019",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0307904X17302913",
  abstract =     "In this paper, the Takagi-Sugeno fuzzy model is
                 derived from the given nonlinear systems. The objective
                 is to linearize these nonlinear systems into several
                 fuzzy differential equations according to the
                 Takagi-Sugeno fuzzy rules. The present work implemented
                 the nontraditional ant colony programming (ACP) method
                 to solve these fuzzy differential equations. The
                 proposed ACP algorithm manages to give either similar
                 or almost close solutions to the analytical form.
                 Accuracy of the solution computed by this ACP method is
                 qualitatively better when it is compared with other
                 nontraditional approaches such as the genetic
                 programming (GP) method. Illustrative numerical
                 examples and tables are presented for comparative
                 purpose.",
  keywords =     "genetic algorithms, genetic programming, Ant colony
                 programming, Differential equation, Fuzzy modelling",
}

Genetic Programming entries for Mohd Zahurin Bin Mohamed Kamali Nallasamy Kumaresan Kuru Ratnavelu

Citations