Competitive Environments Evolve Better Solutions for Complex Tasks

by

Angeline, P., J. and Pollack, J., B.

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Info: Proceedings of the 5th International Conference on Genetic Algorithms, ICGA-93 (Conference proceedings), 1993, p. 264-270
Keywords:genetic algorithms, genetic programming
Notes:
very like thesis One method I investigated was called competitive fitness functions which is a fitness function that compares performance between members of the population to determine a ranking of individuals for reproduction. THis obviates the need for a quantitative model of the quality of solutions and replaces it with a more simplistic measure of "x is better than y". The paper explores this concept using GLiB and appeared in ICGA93.
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BibTex:
@InProceedings{icga93:angeline,
  author =       "Peter J. Angeline and Jordan B. Pollack",
  title =        "Competitive Environments Evolve Better Solutions for
                 Complex Tasks",
  year =         "1993",
  booktitle =    "Proceedings of the 5th International Conference on
                 Genetic Algorithms, ICGA-93",
  editor =       "Stephanie Forrest",
  publisher =    "Morgan Kaufmann",
  pages =        "264--270",
  month =        "17-21 " # jul,
  address =      "University of Illinois at Urbana-Champaign",
  publisher_address = "2929 Campus Drive, Suite 260, San Mateo, CA
                 94403, USA",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "ttp://www.natural-selection.com/people/pja/icga93.ps.Z",
  size =         "7 pages",
  ISBN =         "1-55860-299-2",
  notes =        "very like thesis

                 One method I investigated was called competitive
                 fitness functions which is a fitness function that
                 compares performance between members of the population
                 to determine a ranking of individuals for reproduction.
                 THis obviates the need for a quantitative model of the
                 quality of solutions and replaces it with a more
                 simplistic measure of {"}x is better than y{"}. The
                 paper explores this concept using GLiB and appeared in
                 ICGA93.",
}