GA Automated Design and Synthesis of Analog Circuits with Practical Constrains

Created by W.Langdon from gp-bibliography.bib Revision:1.7810

@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