Automated WYWIWYG Design of Both the Topology and Component Values of Electrical Circuits Using Genetic Programming   [GP]

by

Koza, J., R., Bennett III, F., H., Andre, D. and Keane, M., A.

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Info: Genetic Programming 1996: Proceedings of the First Annual Conference (Conference proceedings), 1996, p. 123-131
Keywords:Genetic Programming, Genetic Algorithms
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 [GP] produce both the topology of the desired circuit and the sizing (numerical values) for all the components of a circuit. Genetic programming [GP] 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 [EE] journal. This evolved circuit is another instance in which a genetically evolved solution to a non- trivial problem is competitive with human performance.
Notes:
GP-96
URL(s):Postscript
(G)zipped postscript

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BibTex:
@InProceedings{koza:1996:WYWIWYG,
  author =       "John R. Koza and Forrest H {Bennett III} and David
                 Andre and Martin A. Keane",
  title =        "Automated {WYWIWYG} Design of Both the Topology and
                 Component Values of Electrical Circuits Using Genetic
                 Programming",
  booktitle =    "Genetic Programming 1996: Proceedings of the First
                 Annual Conference",
  editor =       "John R. Koza and David E. Goldberg and David B. Fogel
                 and Rick L. Riolo",
  year =         "1996",
  month =        "28--31 " # jul,
  keywords =     "Genetic Programming, Genetic Algorithms",
  pages =        "123--131",
  address =      "Stanford University, CA, USA",
  publisher =    "MIT Press",
  URL =          "http://www-cs-faculty.stanford.edu/~koza/gp96.nielsen.ps",
  size =         "9 pages",
  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.",
  notes =        "GP-96",
}