GA Automated Design and Synthesis of Analog Circuits with Practical Constrains

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

@InProceedings{goh:2001:gadsacpc,
  author =       "C. Goh and Y. Li",
  title =        "GA Automated Design and Synthesis of Analog Circuits
                 with Practical Constrains",
  booktitle =    "Proceedings of the 2001 Congress on Evolutionary
                 Computation CEC2001",
  year =         "2001",
  pages =        "170--177",
  address =      "COEX, World Trade Center, 159 Samseong-dong,
                 Gangnam-gu, Seoul, Korea",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "27-30 " # may,
  organisation = "IEEE Neural Network Council (NNC), Evolutionary
                 Programming Society (EPS), Institution of Electrical
                 Engineers (IEE)",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, CAD, Circuit
                 Synthesis, preferred value components, PSpice, active
                 networks, analog circuit design, analog circuit
                 synthesis, evolutionary search techniques, genetic
                 algorithm based growing technique, network topology,
                 passive filter networks, practical constraints, value
                 optimisation, analogue circuits, circuit CAD, network
                 topology, passive filters",
  ISBN =         "0-7803-6658-1",
  DOI =          "doi:10.1109/CEC.2001.934386",
  size =         "8 pages",
  abstract =     "The paper develops a genetic algorithm (GA) based
                 'growing' technique to design and synthesise analogue
                 circuits with practical constraints, such as the
                 manufacturer's preferred component values. Most
                 existing problems when evolutionary search techniques
                 are applied to circuit design are addressed. The
                 developed GA technique is then applied both to
                 synthesise the topology of a network and perform value
                 optimisation on the components based on a set of
                 commonly used component values (E-12 series). Passive
                 filter networks synthesised this way are realisable,
                 effective and of novel topology. It is anticipated that
                 this technique can be extended to active networks",
  notes =        "CEC-2001 - A joint meeting of the IEEE, Evolutionary
                 Programming Society, Galesia, and the IEE.

                 IEEE Catalog Number = 01TH8546C,

                 Library of Congress Number =

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}

Genetic Programming entries for Cindy S F Goh Yun Li

Citations