Evolution of Affine Transformations and Iterated Function Systems using Hierarchical Evolution Strategy

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{sarafopoulos:2001:EuroGP,
  author =       "Anargyros Sarafopoulos",
  title =        "Evolution of Affine Transformations and Iterated
                 Function Systems using Hierarchical Evolution
                 Strategy",
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2001",
  year =         "2001",
  editor =       "Julian F. Miller and Marco Tomassini and 
                 Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and 
                 William B. Langdon",
  volume =       "2038",
  series =       "LNCS",
  pages =        "176--191",
  address =      "Lake Como, Italy",
  publisher_address = "Berlin",
  month =        "18-20 " # apr,
  organisation = "EvoNET",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, Strongly
                 Typed GP, STGP, Evolution Strategies, Iterated Function
                 Systems",
  ISBN =         "3-540-41899-7",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2038&spage=176",
  DOI =          "doi:10.1007/3-540-45355-5_14",
  size =         "16 pages",
  abstract =     "Often optimization problems involve the discovery of
                 many scalar coefficients. Although genetic programming
                 (GP) has been applied to the optimization and discovery
                 of functions with an arbitrary number of scalar
                 coefficients, recent results indicate that a method for
                 fine-tuning GP scalar terminals can assist the
                 discovery of solutions. In this paper we demonstrate an
                 approach where genetic programming and evolution
                 strategies (ES) are seamlessly combined. We apply our
                 GP/ES hybrid, which we name Hierarchical Evolution
                 Strategy, to the problem of evolving affine
                 transformations and iterated function systems (IFS). We
                 compare the results of our approach with GP and notice
                 an improvement in performance in terms of discovering
                 better solutions and speed.",
  notes =        "EuroGP'2001, part of miller:2001:gp. Best student
                 paper",
}

Genetic Programming entries for Anargyros Sarafopoulos

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