Automatic Synthesis of Electrical Circuits Containing a Free Variable using Genetic Programming

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

@InProceedings{Koza:2000:GECCO,
  author =       "John R. Koza and Martin A. Keane and Jessen Yu and 
                 William Mydlowec",
  title =        "Automatic Synthesis of Electrical Circuits Containing
                 a Free Variable using Genetic Programming",
  pages =        "477--484",
  year =         "2000",
  publisher =    "Morgan Kaufmann",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference (GECCO-2000)",
  editor =       "Darrell Whitley and David Goldberg and 
                 Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer",
  address =      "Las Vegas, Nevada, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "10-12 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-55860-708-0",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2000/GP147.pdf",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2000/GP147.ps",
  URL =          "http://www.genetic-programming.com/jkpdf/gecco2000parameterizedfilter.pdf",
  URL =          "http://citeseer.ist.psu.edu/495857.html",
  abstract =     "A mathematical formula containing one or more free
                 variables is {"}general{"} in the sense that it
                 represents the solution to all instances of a problem
                 (instead of just the solution of a single instance of
                 the problem). For example, the familiar formula for
                 solving a quadratic equation contains free variables
                 representing the coefficients of the to-be-solved
                 equation. This paper demonstrates, using an
                 illustrative problem, that genetic programming can
                 automatically create the design for both the topology
                 and component values for an analog electrical circuit
                 in which the value of each component in the evolved
                 circuit is specified by a mathematical expression
                 containing a free variable. That is, genetic
                 programming is used to evolve a general parameterized
                 circuit that satisfies the problem's high-level
                 requirements. The evolved circuit has been
                 cross-validated on unseen values of the free
                 variable.",
  notes =        "A joint meeting of the ninth International Conference
                 on Genetic Algorithms (ICGA-2000) and the fifth Annual
                 Genetic Programming Conference (GP-2000) Part of
                 \cite{whitley:2000:GECCO}",
}

Genetic Programming entries for John Koza Martin A Keane Jessen Yu William J Mydlowec

Citations