Evolving Digital Electronic Circuits for Real-Valued Function Generation using a Genetic Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{miller:1998:edcrfgGA,
  author =       "Julian F. Miller and Peter Thomson",
  title =        "Evolving Digital Electronic Circuits for Real-Valued
                 Function Generation using a Genetic Algorithm",
  booktitle =    "Genetic Programming 1998: Proceedings of the Third
                 Annual Conference",
  year =         "1998",
  editor =       "John R. Koza and Wolfgang Banzhaf and 
                 Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and 
                 David B. Fogel and Max H. Garzon and 
                 David E. Goldberg and Hitoshi Iba and Rick Riolo",
  pages =        "863--868",
  address =      "University of Wisconsin, Madison, Wisconsin, USA",
  publisher_address = "San Francisco, CA, USA",
  month =        "22-25 " # jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming, Evolvable
                 Hardware",
  ISBN =         "1-55860-548-7",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.8117",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.8117.pdf",
  size =         "6 pages",
  abstract =     "In this paper we describe experiments which attempt to
                 evolve digital electronic circuits whose purpose is to
                 implement real signals. As a convenience we chose to
                 evolve mathematical functions i.e. the square-root and
                 sine. Real numbers in the range 0.00-0.99 are encoded
                 in binary using four bits per decimal place. The
                 chromosome used is exactly modelled on the resources
                 available on the Xilinx 6216 re-configurable Field
                 Programmable Gate Array (FPGA), so that evolved circuit
                 designs may be simply implemented on this target
                 device. We investigated a number of ways of presenting
                 examples to the circuit so that the target function
                 might be learnt, and also looked at two distinctly
                 different fitness function definitions.",
  notes =        "GP-98",
}

Genetic Programming entries for Julian F Miller Peter Thomson

Citations