Improving the Evolvability of Digital Multipliers Using Embedded Cartesian Genetic Programming and Product Reduction

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

@InProceedings{conf/ices/WalkerM05,
  title =        "Improving the Evolvability of Digital Multipliers
                 Using Embedded Cartesian Genetic Programming and
                 Product Reduction",
  author =       "James Alfred Walker and Julian Francis Miller",
  year =         "2005",
  pages =        "131--142",
  editor =       "Juan Manuel Moreno and Jordi Madrenas and Jordi Cosp",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3637",
  booktitle =    "Evolvable Systems: From Biology to Hardware, 6th
                 International Conference, ICES 2005, Proceedings",
  address =      "Sitges, Spain",
  month =        sep # " 12-14",
  bibdate =      "2005-10-26",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/ices/ices2005.html#WalkerM05",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming",
  ISBN =         "3-540-28736-1",
  DOI =          "doi:10.1007/11549703_13",
  size =         "12 pages",
  abstract =     "Embedded Cartesian Genetic Programming (ECGP) is a
                 form of Genetic Programming based on an acyclic
                 directed graph representation. We investigate the use
                 of ECGP together with a technique called Product
                 Reduction (PR) to reduce the time required to evolve a
                 digital multiplier. The results are compared with
                 Cartesian Genetic Programming (CGP) with and without PR
                 and show that ECGP improves evolvability and also that
                 PR improves the performance of both techniques by up to
                 eight times on the digital multiplier problems
                 tested.",
}

Genetic Programming entries for James Alfred Walker Julian F Miller

Citations