Clone selection programming and its application to symbolic regression

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@Article{Gan20093996,
  author =       "Zhaohui Gan and Tommy W. S. Chow and W. N. Chau",
  title =        "Clone selection programming and its application to
                 symbolic regression",
  journal =      "Expert Systems with Applications",
  volume =       "36",
  number =       "2, Part 2",
  pages =        "3996--4005",
  year =         "2009",
  ISSN =         "0957-4174",
  DOI =          "DOI:10.1016/j.eswa.2008.02.030",
  URL =          "http://www.sciencedirect.com/science/article/B6V03-4S02048-9/2/d5a34ad92d4cf0f6f5e33f4407a2776f",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, Clone selection, Programming,
                 Immune system, Gene expression",
  abstract =     "A new idea [`]clone selection programming (CSP)' is
                 introduced in this paper. The proposed methodology is
                 used for deriving new algorithms in the area of
                 evolutionary computing aimed at solving a wide range of
                 problems. In CSP, antibodies represent candidate
                 solutions, which are encoded according to the structure
                 of antibody. The antibodies are able to keep syntax
                 correct even they are changed with iterations. Also,
                 the clone selection principle is developed as a search
                 strategy. The proposed strategies have been thoroughly
                 evaluated by intensive simulations. The results
                 demonstrate the effectiveness and excellent convergent
                 qualities of the CSP based search strategy. In our
                 study, the convergence rate with respect to population
                 size and other parameters is studied. A thorough
                 comparative study between our proposed CSP based method
                 with the gene expression programming (GEP), and immune
                 programming (IP) are included. The comparative results
                 show that the CSP based method can significantly
                 improve the program performance. The experimental
                 results indicate that the proposed method is very
                 robust under all the investigated cases.",
}

Genetic Programming entries for Zhaohui Gan Tommy Wai-Shing Chow Wing-Nam Chau

Citations