Automatic programming of a time-optimal robot controller and an analog electrical circuit to implement the robot controller by means of genetic programming (1997)
| Venue: | Proceedings of 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Los Alamitos, CA; Computer Society Press. Pages 340 |
| Citations: | 4 - 3 self |
BibTeX
@INPROCEEDINGS{Koza97automaticprogramming,
author = {John R. Koza and Forrest H Bennett Iii},
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. Los Alamitos, CA; Computer Society Press. Pages 340},
year = {1997},
pages = {346}
}
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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. 1.
