Automated WYWIWYG design of both the topology and component values of electrical circuits using genetic programming

Authors:
John R. Koza;Forrest H. Bennett, III;David Andre;Martin A. Keane
Affiliations:
Stanford University, Stanford, California;Stanford University, Stanford, California;Stanford University, Stanford, California;Econometrics Inc., Chicago, Illinois
Venue:
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Year:
1996

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Abstract

This paper describes an automated process for designing electrical circuits in which "What You Want Is What You Get" ("WYWIWYG" - pronounced "wow-eee-wig"). The design process uses genetic programming to produce both the topology of the desired circuit and the sizing (numerical values) for all the components of a circuit. Genetic programming successfully evolves both the topology and the sizing for an asymmetric bandpass filter that was described as being difficult-to-design in a leading electrical engineering journal. This evolved circuit is another instance in which a genetically evolved solution to a non-trivial problem is competitive with human performance.