Evolutionary Design of Analog Electrical Circuits using Genetic Programming

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@InProceedings{koza:1998:ACDM,
  author =       "John R. Koza and Forrest H {Bennett III} and 
                 David Andre and Martin A. Keane",
  title =        "Evolutionary Design of Analog Electrical Circuits
                 using Genetic Programming",
  booktitle =    "Proceedings of Adaptive Computing in Design and
                 Manufacture Conference",
  year =         "1998",
  address =      "Plymouth, England",
  month =        "21-23 " # apr,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.genetic-programming.com/jkpdf/acdm1998.pdf",
  abstract =     "The design (synthesis) of analog electrical circuits
                 entails the creation of both the topology and sizing
                 (numerical values) of all of the 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.",
  notes =        "ACDM-98",
}

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

Citations