Continuous Hierarchical Fair Competition Model for Sustainable Innovation in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Jianjun Hu and Erik D. Goodman and Kisung Seo",
  title =        "Continuous Hierarchical Fair Competition Model for
                 Sustainable Innovation in Genetic Programming",
  booktitle =    "Genetic Programming Theory and Practice",
  publisher =    "Kluwer",
  year =         "2003",
  editor =       "Rick L. Riolo and Bill Worzel",
  chapter =      "6",
  pages =        "81--98",
  keywords =     "genetic algorithms, genetic programming, sustainable
                 innovation, HFC, fair competition principle",
  ISBN =         "1-4020-7581-2",
  URL =          "",
  DOI =          "doi:10.1007/978-1-4419-8983-3_6",
  abstract =     "Lack of sustainable search capability of genetic
                 programming has severely constrained its application to
                 more complex problems. A new evolutionary algorithm
                 model named the continuous hierarchical fair
                 competition (CHFC) model is proposed to improve the
                 capability of sustainable innovation for single
                 population genetic programming. It is devised by
                 extracting the fundamental principles underlying
                 sustainable biological and societal processes
                 originally proposed in the multi-population HFC model.
                 The hierarchical elitism, breeding probability
                 distribution and individual distribution control over
                 the whole fitness range enable CHFC to achieve
                 sustainable evolution while enjoying flexible control
                 of an evolutionary search process. Experimental results
                 demonstrate its capability to do robust sustainable
                 search and avoid the aging problem typical in genetic
  notes =        "Part of \cite{RioloWorzel:2003}",
  size =         "pages",

Genetic Programming entries for Jianjun Hu Erik Goodman Kisung Seo