On the Theory of Designing Circuits using Genetic Programming and a Minimum of Domain Knowledge

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

@InProceedings{andre:1998:tdcGPmdk,
  author =       "David Andre and Forrest H {Bennett III} and 
                 John Koza and Martin A. Keane",
  title =        "On the Theory of Designing Circuits using Genetic
                 Programming and a Minimum of Domain Knowledge",
  booktitle =    "Proceedings of the 1998 IEEE World Congress on
                 Computational Intelligence",
  year =         "1998",
  pages =        "130--135",
  address =      "Anchorage, Alaska, USA",
  month =        "5-9 " # may,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, amplifiers,
                 analog circuit design, circuit evolution, computational
                 circuits, embryonic circuit elimination, filters,
                 knowledge representation, minimal domain knowledge,
                 problem-specific knowledge, analogue circuits, circuit
                 CAD, circuit optimisation, intelligent design
                 assistants, knowledge representation, programming",
  ISBN =         "0-7803-4869-9",
  file =         "c023.pdf",
  URL =          "http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00699489",
  DOI =          "doi:10.1109/ICEC.1998.699489",
  size =         "6 pages",
  abstract =     "The problem of analog circuit design is a difficult
                 problem that is generally viewed as requiring human
                 intelligence to solve. Considerable progress has been
                 made in automating the design of certain categories of
                 purely digital circuits; however, the design of analog
                 electrical circuits and mixed analog-digital circuits
                 has not proved to be as amenable to automation. When
                 critical analog circuits are required for a project,
                 skilled and highly trained experts are necessary.
                 Previous work on applying genetic programming to the
                 design of analog circuits has proved to be successful
                 at evolving a wide variety of circuits, including
                 filters, amplifiers, and computational circuits;
                 however, previous approaches have required the
                 specification of an appropriate embryonic circuit. This
                 paper explores a method to eliminate even this small
                 amount of problem specific knowledge, and, in addition,
                 proves that the representation used is capable of
                 producing all circuits.",
  notes =        "ICEC-98 Held In Conjunction With WCCI-98 --- 1998 IEEE
                 World Congress on Computational Intelligence",
}

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

Citations