Future work and practical applications of genetic programming   [GP]

by

Koza, J., R.

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Info: Handbook of Evolutionary Computation, 1997, p. H1.1-1-6
Keywords:genetic algorithms, genetic programming
Abstract:
Genetic programming [GP] is a relatively new domain-independent method for evolving computer programs to solve problems. This chapter suggests avenues for possible future research on genetic programming, [GP] opportunities to extend the technique, and areas for possible practical applications.
Notes:
Survey
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BibTex:
@InCollection{koza:1997:fwpaGP,
  author =       "John R. Koza",
  title =        "Future work and practical applications of genetic
                 programming",
  booktitle =    "Handbook of Evolutionary Computation",
  publisher =    "Oxford University Press",
  publisher_2 =  "Institute of Physics Publishing",
  year =         "1997",
  editor =       "T. Baeck and D. B. Fogel and Z. Michalewicz",
  pages =        "H1.1--1--6",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www-cs-faculty.stanford.edu/~koza/HECfuture.ps",
  abstract =     "Genetic programming is a relatively new
                 domain-independent method for evolving computer
                 programs to solve problems. This chapter suggests
                 avenues for possible future research on genetic
                 programming, opportunities to extend the technique, and
                 areas for possible practical applications.",
  notes =        "Survey",
  size =         "6 pages",
}