%0 Conference Paper
%B Proceedings of the 1998 IEEE World Congress on Computational Intelligence
%D 1998
%T On the Theory of Designing Circuits using Genetic Programming and a Minimum of Domain Knowledge
%A Andre, David
%A III, Forrest Bennett
%A Koza, John
%A Keane, Martin
%C Anchorage, Alaska, USA
%I IEEE Press
%K genetic algorithms, genetic programming
%P 130--135
%X The problem of analog circuit design is a difficult                  problem that is generally viewed as requiring human                  intelligence to solve. Considerable progress has been                  made in automating the design of certain categories of                  purely digital circuits; however, the design of analog                  electrical circuits and mixed analog-digital circuits                  has not proved to be as amenable to automation. When                  critical analog circuits are required for a project,                  skilled and highly trained experts are necessary.                  Previous work on applying genetic programming to the                  design of analog circuits has proved to be successful                  at evolving a wide variety of circuits, including                  filters, amplifiers, and computational circuits;                  however, previous approaches have required the                  specification of an appropriate embryonic circuit. This                  paper explores a method to eliminate even this small                  amount of problem specific knowledge, and, in addition,                  proves that the representation used is capable of                  producing all circuits.
%8 "5-9 " # may
%9 inproceedings