Use of Architecture-Altering Operations to Dynamically Adapt a Three-Way Analog Source Identification Circuit to Accommodate a New Source

by

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

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Info: Genetic Programming 1997: Proceedings of the Second Annual Conference (Conference proceedings), 1997, p. 213-221
Keywords:Genetic Programming, Genetic Algorithms
Abstract:
The problem of source identification involves correctly classifying an incoming signal into a category that identifies the signal's source. The problem is difficult because information is not provided concerning each source's distinguishing characteristics and because successive signals from the same source differ. The source identification problem can be made more difficult by dynamically changing the repertoire of sources while the problem is being solved. We used genetic programming to evolve [GP] both the topology and the sizing (numerical values) for each component of an analog electrical circuit that can correctly classify an incoming analog electrical signal into three categories. Then, the repertoire of sources was dynamically changed by adding a new source during the run. The paper describes how the architecture-altering operations enabled genetic programming to [GP] adapt, during the run, to the changed environment. Specifically, a three-way source identification circuit was evolved and then adapted into a four-way classifier, during the run, thereby successfully handling the additional new source.
Notes:
GP-97
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BibTex:
@InProceedings{koza:1997:aaoda3asic,
  author =       "John R. Koza and Forest H. {Bennett III} and Jason
                 Lohn and Frank Dunlap and Martin A. Keane and David
                 Andre",
  title =        "Use of Architecture-Altering Operations to Dynamically
                 Adapt a Three-Way Analog Source Identification Circuit
                 to Accommodate a New Source",
  booktitle =    "Genetic Programming 1997: Proceedings of the Second
                 Annual Conference",
  editor =       "John R. Koza and Kalyanmoy Deb and Marco Dorigo and
                 David B. Fogel and Max Garzon and Hitoshi Iba and Rick
                 L. Riolo",
  year =         "1997",
  month =        "13-16 " # jul,
  keywords =     "Genetic Programming, Genetic Algorithms",
  pages =        "213--221",
  address =      "Stanford University, CA, USA",
  publisher_address = "San Francisco, CA, USA",
  publisher =    "Morgan Kaufmann",
  URL =          "http://www-cs-faculty.stanford.edu/~koza/GPway.ps",
  abstract =     "The problem of source identification involves
                 correctly classifying an incoming signal into a
                 category that identifies the signal's source. The
                 problem is difficult because information is not
                 provided concerning each source's distinguishing
                 characteristics and because successive signals from the
                 same source differ. The source identification problem
                 can be made more difficult by dynamically changing the
                 repertoire of sources while the problem is being
                 solved. We used genetic programming to evolve both the
                 topology and the sizing (numerical values) for each
                 component of an analog electrical circuit that can
                 correctly classify an incoming analog electrical signal
                 into three categories. Then, the repertoire of sources
                 was dynamically changed by adding a new source during
                 the run. The paper describes how the
                 architecture-altering operations enabled genetic
                 programming to adapt, during the run, to the changed
                 environment. Specifically, a three-way source
                 identification circuit was evolved and then adapted
                 into a four-way classifier, during the run, thereby
                 successfully handling the additional new source.",
  notes =        "GP-97",
}