Evolution of tri-state Frequency Discriminator for the Source Identification Problem using Genetic Programming   [GP]

by

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

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Info: International Conference of Information Sciences (Conference proceedings), 1997, p. 95-99
Keywords:genetic algorithms, genetic programming
Abstract:
Automated synthesis [AS] of analog electronic circuits is recognized as a difficult problem. Genetic programming [GP] was used to evolve both the topology and the sizing (numerical values) for each component of a circuit that can perform source identification by correctly classify an incoming signal into categories.
Notes:
FEA-97
URL(s):Postscript
(G)zipped postscript

Review item:
Mark as doublet (will be reviewed)

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BibTex:
@InProceedings{koza:1997:3sfd,
  author =       "John R. Koza and Forrest H {Bennett III} and Jason
                 Lohn and Frank Dunlap and Martin A. Keane and David
                 Andre",
  title =        "Evolution of tri-state Frequency Discriminator for the
                 Source Identification Problem using Genetic
                 Programming",
  booktitle =    "International Conference of Information Sciences",
  year =         "1997",
  editor =       "Paul P. Wang",
  volume =       "1",
  pages =        "95--99",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www-cs-faculty.stanford.edu/~koza/FEAfre.ps",
  size =         "2",
  abstract =     "Automated synthesis of analog electronic circuits is
                 recognized as a difficult problem. Genetic programming
                 was used to evolve both the topology and the sizing
                 (numerical values) for each component of a circuit that
                 can perform source identification by correctly classify
                 an incoming signal into categories.",
  notes =        "FEA-97

                 ",
}