Automatic Analogue Network Synthesis using Genetic Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{grimbleby:1995:,
  author =       "J. B. Grimbleby",
  title =        "Automatic Analogue Network Synthesis using Genetic
                 Algorithms",
  booktitle =    "First International Conference on Genetic Algorithms
                 in Engineering Systems: Innovations and Applications,
                 GALESIA",
  year =         "1995",
  editor =       "A. M. S. Zalzala",
  volume =       "414",
  pages =        "53--58",
  address =      "Sheffield, UK",
  publisher_address = "London, UK",
  month =        "12-14 " # sep,
  publisher =    "IEE",
  keywords =     "genetic algorithms, genetic programming, analogue
                 network synthesis, frequency-domain, linear networks,
                 time-domain, analogue circuits, circuit CAD, circuit
                 optimisation, linear network synthesis",
  ISBN =         "0-85296-650-4",
  DOI =          "doi:10.1049/cp:19951024",
  size =         "6 pages",
  abstract =     "Genetic algorithms provide a basis for automatic
                 synthesis of analogue electronic networks. Passive
                 linear networks have been generated to meet both
                 frequency-domain and time-domain specifications. The
                 networks generated are both novel and effective. It
                 should be possible to extend the technique to deal with
                 active networks",
  notes =        "12--14 September 1995, Halifax Hall, University of
                 Sheffield, UK see also
                 http://www.iee.org.uk/LSboard/Conf/program/galprog.htm

                 Evolves passive analogue circuits using a fixed length
                 GA which allows non-ops to specify network connectivity
                 and components forming links.

                 'Even a small amount of cross-over provides
                 considerable efficiency benefits' [page 55] See also
                 \cite{grimbleby:2000}.",
}

Genetic Programming entries for J B Grimbleby

Citations