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

نویسندگان

  • John R. Koza
  • Forrest H. Bennett
  • Martin A. Keane
  • David Andre
چکیده

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 a r i t h m e t i c o p e r a t i o n s a n d c o n d i t i o n a l o p e r a t i o n s t o 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 nearoptimal control strategy.

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تاریخ انتشار 1997