Routine human-competitive Automatic Synthesis using genetic programming of both the topology and sizing for five post-2000 patented analog and mixed analog-digital circuits

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

@InCollection{streeter:2003:SSMSD,
  author =       "Matthew J. Streeter and Martin A. Keane and 
                 John R. Koza",
  title =        "Routine human-competitive Automatic Synthesis using
                 genetic programming of both the topology and sizing for
                 five post-2000 patented analog and mixed analog-digital
                 circuits",
  booktitle =    "2003 Southwest Symposium on Mixed-Signal Design",
  publisher =    "IEEE Circuits and Systems Society",
  year =         "2003",
  series =       "Southwest Symposium on Mixed-Signal Design",
  pages =        "5--10",
  address =      "Las Vegas, Nevada, USA",
  email =        "john@johnkoza.com",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.genetic-programming.com/jkpdf/ssmsd2003.pdf",
  size =         "6 pages",
  abstract =     "Recent work has demonstrated that genetic programming
                 can automatically create both the topology (graphical
                 structure) and sizing (numerical component values) for
                 analog electrical circuits merely by specifying the
                 circuit's high level behaviour (e.g., its desired or
                 observed output, given its input). This automatic
                 synthesis of analog circuits is accomplished using only
                 tools for the analysis of circuits (e.g., a circuit
                 simulator) and without relying on any human know-how
                 concerning the synthesis of circuits. This paper
                 applies genetic programming to the automatic synthesis
                 of five analog and mixed analog-digital circuits that
                 duplicate the functionality of circuits patented after
                 January 1, 2000. The five automatically created
                 circuits read on some (but not all) of the elements of
                 various claims of the patents involved (and therefore
                 do not infringe). The described method can be used as
                 an automated invention machine either to produce
                 potentially patentable new circuits or to engineer
                 around existing patents.",
}

Genetic Programming entries for Matthew J Streeter Martin A Keane John Koza

Citations