Evolution of a Time-Optimal Fly-To Controller Circuit using Genetic Programming   [GP]

by

Koza, J., R., Bennett III, F., H., Keane, M., A. and Andre, D.

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Info: Genetic Programming 1997: Proceedings of the Second Annual Conference (Conference proceedings), 1997, p. 207-212
Keywords:Genetic Programming, Genetic Algorithms
Abstract:
Most problem-solving techniques used by engineers involve the introduction of analytical and mathematical representations and techniques that are entirely foreign to the problem at hand. Genetic programming [GP] offers the possibility of solving problems in a more direct way using the given ingredients of the problem. This idea is explored by considering the problem of designing an electrical controller to implement a solution to the time-optimal fly-to control problem.
Notes:
GP-97
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BibTex:
@InProceedings{koza:1997:etofccGP,
  author =       "John R. Koza and Forest H. {Bennett III} and Martin A.
                 Keane and David Andre",
  title =        "Evolution of a Time-Optimal Fly-To Controller Circuit
                 using Genetic Programming",
  booktitle =    "Genetic Programming 1997: Proceedings of the Second
                 Annual Conference",
  editor =       "John R. Koza and Kalyanmoy Deb and Marco Dorigo and
                 David B. Fogel and Max Garzon and Hitoshi Iba and Rick
                 L. Riolo",
  year =         "1997",
  month =        "13-16 " # jul,
  keywords =     "Genetic Programming, Genetic Algorithms",
  pages =        "207--212",
  address =      "Stanford University, CA, USA",
  publisher_address = "San Francisco, CA, USA",
  publisher =    "Morgan Kaufmann",
  URL =          "http://www-cs-faculty.stanford.edu/~koza/GPfly.ps",
  abstract =     "Most problem-solving techniques used by engineers
                 involve the introduction of analytical and mathematical
                 representations and techniques that are entirely
                 foreign to the problem at hand. Genetic programming
                 offers the possibility of solving problems in a more
                 direct way using the given ingredients of the problem.
                 This idea is explored by considering the problem of
                 designing an electrical controller to implement a
                 solution to the time-optimal fly-to control problem.",
  notes =        "GP-97",
}