A graph grammar based approach to automated multi-objective analog circuit design

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Angan Das and Ranga Vemuri",
  title =        "A graph grammar based approach to automated
                 multi-objective analog circuit design",
  booktitle =    "Design, Automation Test in Europe Conference
                 Exhibition, DATE '09",
  year =         "2009",
  month =        "20-24 " # apr,
  pages =        "700--705",
  URL =          "http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5090755",
  DOI =          "doi:10.1109/DATE.2009.5090755",
  abstract =     "This paper introduces a graph grammar based approach
                 to automated topology synthesis of analog circuits. A
                 grammar is developed to generate circuits through
                 production rules, that are encoded in the form of a
                 derivation tree. The synthesis has been sped up by
                 using dynamically obtained design-suitable building
                 blocks. Our technique has certain advantages when
                 compared to other tree-based approaches like GP based
                 structure generation. Experiments conducted on an opamp
                 and a vco design show that unlike previous works, we
                 are capable of generating both manual-like designs
                 (bookish circuits) as well as novel designs (unfamiliar
                 circuits) for multi-objective analog circuit design
  keywords =     "genetic algorithms, genetic programming, VCO,
                 automated multiobjective analog circuit design,
                 automated topology synthesis, bookish circuits,
                 derivation tree, design-suitable building blocks,
                 encoding, graph grammar-based approach, opamp, analogue
                 circuits, graph grammars, network topology, operational
                 amplifiers, tree codes, voltage-controlled
  ISSN =         "1530-1591",
  notes =        "Also known as \cite{5090755}",

Genetic Programming entries for Angan Das Ranga Vemuri