%0 Conference Paper
%B Proceedings of 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation
%D 1997
%T Automatic programming of a time-optimal robot controller and an analog electrical circuit to implement the robot controller by means of genetic programming
%A Koza, John
%A III, Forrest Bennett
%A Keane, Martin
%A Andre, David
%C Los Alamitos, CA, USA
%I Computer Society Press
%K genetic algorithms, genetic programming
%P 340--346
%U http://www.genetic-programming.com/jkpdf/cira1997.pdf
%X 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.
%9 inproceedings