Use of Automatically Defined Functions and Architecture-Altering Operations in Automated Circuit Synthesis Using Genetic Programming   [ADF] [CS] [GP]

by

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

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Info: Genetic Programming 1996: Proceedings of the First Annual Conference (Conference proceedings), 1996, p. 132-149
Keywords:Genetic Programming, Genetic Algorithms
Abstract:
This paper demonstrates the usefulness of automatically defined functions [ADF] and architecture-altering operations in designing analog electrical circuits using genetic programming. [GP] A design for a lowpass filter is genetically evolved in which an automatically defined function is profitably reused in the 100% compliant circuit. The symmetric reuse of an evolved substructure directly enhances the performance of the circuit. Genetic programming [GP] rediscovered the classical ladder topology used in Butterworth and Chebychev filters as well as the more complex topology used in Cauer (elliptic) filters. A design for a double-passband filter is genetically evolved in which the architecture- altering operations discover a suitable program architecture dynamically during the run. Two automatically defined functions [ADF] are profitably reused in the genetically evolved 100% complaint circuit.
Notes:
GP-96
URL(s):Postscript
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BibTex:
@InProceedings{koza:1996:ADFaacs,
  author =       "John R. Koza and David Andre and Forrest H {Bennett
                 III} and Martin A. Keane",
  title =        "Use of Automatically Defined Functions and
                 Architecture-Altering Operations in Automated Circuit
                 Synthesis 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 =        "132--149",
  address =      "Stanford University, CA, USA",
  publisher =    "MIT Press",
  URL =          "http://www-cs-faculty.stanford.edu/~koza/gp96.adf.ps",
  size =         "9 pages",
  abstract =     "This paper demonstrates the usefulness of
                 automatically defined functions and
                 architecture-altering operations in designing analog
                 electrical circuits using genetic programming. A design
                 for a lowpass filter is genetically evolved in which an
                 automatically defined function is profitably reused in
                 the 100% compliant circuit. The symmetric reuse of an
                 evolved substructure directly enhances the performance
                 of the circuit. Genetic programming rediscovered the
                 classical ladder topology used in Butterworth and
                 Chebychev filters as well as the more complex topology
                 used in Cauer (elliptic) filters. A design for a
                 double-passband filter is genetically evolved in which
                 the architecture- altering operations discover a
                 suitable program architecture dynamically during the
                 run. Two automatically defined functions are profitably
                 reused in the genetically evolved 100% complaint
                 circuit.",
  notes =        "GP-96",
}