Automatic programming of a time-optimal robot controller and an analog electrical circuit to implement the robot controller by means of genetic programming

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@InProceedings{koza:1997:aptorcaect,
  author =       "John R. Koza and Forrest H {Bennett III} and 
                 Martin A. Keane and David Andre",
  title =        "Automatic programming of a time-optimal robot
                 controller and an analog electrical circuit to
                 implement the robot controller by means of genetic
                 programming",
  booktitle =    "Proceedings of 1997 IEEE International Symposium on
                 Computational Intelligence in Robotics and Automation",
  year =         "1997",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "340--346",
  address =      "Los Alamitos, CA, USA",
  publisher =    "Computer Society Press",
  URL =          "http://www.genetic-programming.com/jkpdf/cira1997.pdf",
  abstract =     "Genetic programming is an automatic programming
                 technique that evolves computer programs to solve, or
                 approximately solve, problems. This paper presents two
                 examples in which genetic programming creates a
                 computer program for controlling a robot so that the
                 robot moves to a specified destination point in minimal
                 time. In the first approach, genetic programming
                 evolves a computer program composed of ordinary
                 arithmetic operations and conditional operations to
                 implement a time-optimal control strategy. In the
                 second approach, genetic programming evolves the design
                 of an analog electrical circuit consisting of
                 transistors, diodes, resistors, and power supplies to
                 implement a near-optimal control strategy.",
  notes =        "IEEE CIRA-97",
}

Genetic Programming entries for John Koza Forrest Bennett Martin A Keane David Andre

Citations