The information provided by each instructor varied, but included items such as course syllabi, reading lists, problem sets, examinations, background materials, etc. Therefore, we have decided to publish an updated booklet in late 1996. Hopefully, this new booklet will contain even more information about the existing 30 GA courses as well as information about various additional genetic algorithm courses. Arrangements will be made so that additional copies of the booklet may be subsequently obtained from the Stanford Bookstore. It would be desirable if computers could solve problems without the need for a human to write the detailed programmatic steps.
Genetic programming is such a technique.
This paper then discusses the problem of electronic circuit synthesis in greater detail. The following paper is now available in Post Script. This paper describes an automated process for designing an optimal food-foraging controller for a lizard. The controller consists of an analog electrical circuit. Genetic programming successfully evolves both the topology and the sizing for each electrical component.