Accelerated Genetic Programming of Polynomials

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Nikolay I. Nikolaev and Hitoshi Iba",
  title =        "Accelerated Genetic Programming of Polynomials",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2001",
  volume =       "2",
  number =       "3",
  pages =        "231--257",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1023/A:1011949326249",
  abstract =     "An accelerated polynomial construction technique for
                 genetic programming is proposed. This is a horizontal
                 technique for gradual expansion of a partial polynomial
                 during traversal of its tree-structured representation.
                 The coefficients of the partial polynomial and the
                 coefficient of the new term are calculated by a rapid
                 recurrent least squares (RLS) fitting method. When used
                 for genetic programming (GP) of polynomials this
                 technique enables us not only to achieve fast
                 estimation of the coefficients, but also leads to power
                 series models that differ from those of traditional
                 Koza-style GP and from those of the previous GP with
                 polynomials STROGANOFF. We demonstrate that the
                 accelerated GP is sucessful in that it evolves
                 solutions with greater generalization capacity than
                 STROGANOFF and traditional GP on symbolic regression,
                 pattern recognition, and financial time-series
                 prediction tasks.",
  notes =        "Article ID: 357594",

Genetic Programming entries for Nikolay Nikolaev Hitoshi Iba