The Design of Analog Circuits by Means of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InCollection{koza:1999:dacGP,
  author =       "John Koza and Forrest H {Bennett III} and 
                 David Andre and Martin A. Keane",
  title =        "The Design of Analog Circuits by Means of Genetic
                 Programming",
  booktitle =    "Evolutionary Design by Computers",
  publisher =    "Morgan Kaufmann",
  year =         "1999",
  editor =       "Peter Bentley",
  chapter =      "16",
  pages =        "365--385",
  address =      "San Francisco, USA",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-55860-605-X",
  URL =          "http://www.genetic-programming.com/jkpdf/edc1999.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/P.Bentley/evdes.html",
  abstract =     "In this chapter, genetic programming succeeded in
                 evolving both the topology and sizing of six different
                 prototypical analog electrical circuits, including a
                 lowpass filter, a highpass filter, a tri-state
                 frequency discriminator circuit, a 60 dB amplifier, a
                 computational circuit for the square root, and a
                 time-optimal robot controller circuit. All six of these
                 genetically evolved circuits constitute instances of an
                 evolutionary computation technique solving a problem
                 that is usually thought to require human intelligence.
                 There has previously been no general automated
                 technique for synthesizing an analog electrical circuit
                 from a high-level statement of the circuit's desired
                 behavior. The approach using genetic programming to the
                 problem of analog circuit synthesis is general; it can
                 be directly applied to other problems of analog circuit
                 synthesis. Each of the problems in this chapter
                 illustrates the automatic creation of a satisfactory
                 way of {"}how to do it{"} from a high-level statement
                 of {"}what needs to be done.{"}",
}

Genetic Programming entries for John Koza Forrest Bennett David Andre Martin A Keane