Parameter Mapping: A genetic programming approach to function optimization

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@Article{Pujol:2008:IJKBIES,
  author =       "Joao Carlos Figueira Pujol and Riccardo Poli",
  title =        "Parameter Mapping: A genetic programming approach to
                 function optimization",
  journal =      "International Journal of Knowledge-Based and
                 Intelligent Engineering Systems",
  year =         "2008",
  volume =       "12",
  number =       "1",
  pages =        "29--45",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1327-2314",
  publisher =    "IOS Press",
  URL =          "http://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes00138",
  size =         "17 pages",
  abstract =     "This paper describes a new approach to optimisation
                 that uses a novel representation for the parameters to
                 be optimized. By using genetic programming, the method
                 evolves a population of functions. The purpose of such
                 functions is to transform initial random values of the
                 parameters into better ones. The representation is, in
                 principle, independent of the size of the problem being
                 addressed. Promising results are reported, comparing
                 the new method with differential evolution, particle
                 swarm optimisation, and genetic algorithms, on a test
                 suite of benchmark problems.",
  notes =        "KES",
}

Genetic Programming entries for Joao Carlos Figueira Pujol Riccardo Poli

Citations