Automatic creation of computer programs for designing electrical circuits using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{koza:1998:CISE,
  author =       "John R. Koza and Forrest H {Bennett III} and 
                 David Andre and Martin A. Keane",
  title =        "Automatic creation of computer programs for designing
                 electrical circuits using genetic programming",
  booktitle =    "Computational Intelligence in Software Engineering",
  publisher =    "World Scientific",
  year =         "1998",
  editor =       "Witold Pedrycz and James F. Peters",
  volume =       "16",
  series =       "Advances in Fuzzy Systems-Applications and Theory",
  pages =        "127--150",
  address =      "Singapore",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "981-02-3503-8",
  URL =          "http://www.genetic-programming.com/jkpdf/cise1998.pdf",
  URL =          "http://ebooks.worldscinet.com/ISBN/9789812816153/9789812816153_0005.html",
  abstract =     "One of the central goals of computer science is to get
                 computers to solve problems starting from only a
                 high-level statement of the problem. The goal of
                 automating the design process bears many similarities
                 to the goal of automatically creating computer
                 programs. The design process entails creation of a
                 complex structure to satisfy user-defined requirements.
                 The design process is usually viewed as requiring human
                 intelligence. Indeed, design is a major activity of
                 practicing engineers. For these reasons, the design
                 process offers a practical yardstick for evaluating
                 automated programming (program synthesis) techniques.
                 In particular, the design (synthesis) of analog
                 electrical circuits entails the creation of both the
                 topology and sizing (numerical values) of all of a
                 circuit's components. There has previously been no
                 general automated technique for automatically designing
                 an analog electrical circuit from a high-level
                 statement of the circuit's desired behavior. This paper
                 shows how genetic programming can be used to automate
                 the design of both the topology and sizing of a suite
                 of five prototypical analog circuits, including a
                 lowpass 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 five of these genetically evolved circuits
                 constitute instances of an evolutionary computation
                 technique solving a problem that is usually thought to
                 require human intelligence.",
}

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

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