Automatic Creation of Human-Competitive Programs and Controllers by Means of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{koza:2000:achcpcmGP,
  author =       "John R. Koza and Martin A. Keane and Jessen Yu and 
                 Forrest H {Bennett III} and William Mydlowec",
  title =        "Automatic Creation of Human-Competitive Programs and
                 Controllers by Means of Genetic Programming",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2000",
  volume =       "1",
  number =       "1/2",
  pages =        "121--164",
  month =        apr,
  keywords =     "genetic algorithms, genetic programming, control,
                 network synthesis, human competitive results",
  ISSN =         "1389-2576",
  URL =          "http://www.genetic-programming.com/jkpdf/gpemcontrol2000.pdf",
  DOI =          "doi:10.1023/A:1010076532029",
  size =         "44 pages",
  abstract =     "Genetic programming is an automatic method for
                 creating a computer program or other complex structure
                 to solve a problem. This paper first reviews various
                 instances where genetic programming has previously
                 produced human-competitive results. It then presents
                 new human-competitive results involving the automatic
                 synthesis of the design of both the parameter values
                 (i.e., tuning) and the topology of controllers for two
                 illustrative problems. Both genetically evolved
                 controllers are better than controllers designed and
                 published by experts in the field of control using the
                 criteria established by the experts. One of these two
                 controllers infringes on a previously issued patent.
                 Other evolved controllers duplicate the functionality
                 of other previously patented controllers. The results
                 in this paper, in conjunction with previous results,
                 reinforce the prediction that genetic programming is on
                 the threshold of routinely producing human-competitive
                 results and that genetic programming can potentially be
                 used as an ?invention machine? to produce patentable
                 new inventions.",
  notes =        "Article ID: 253707",
}

Genetic Programming entries for John Koza Martin A Keane Jessen Yu Forrest Bennett William J Mydlowec

Citations