Benefits of Employing an Implicit Context Representation on Hardware Geometry of CGP

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

  author =       "Xinye Cai and Stephen L. Smith and Andrew M. Tyrrell",
  title =        "Benefits of Employing an Implicit Context
                 Representation on Hardware Geometry of CGP",
  year =         "2005",
  pages =        "143--154",
  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",
  bibsource =    "DBLP,",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming",
  ISBN =         "3-540-28736-1",
  DOI =          "doi:10.1007/11549703_14",
  size =         "12 pages",
  abstract =     "Cartesian Genetic Programming (CGP) has successfully
                 been applied to the evolution of simple image
                 processing filters and implemented in intrinsic
                 evolvable hardware by the authors. However,
                 conventional CGP exhibits the undesirable
                 characteristic of positional dependence in which the
                 specific location of genes within the chromosome has a
                 direct or indirect influence on the phenotype. An
                 implicit context representation of CGP (IRCGP) has been
                 implemented by the authors which is positionally
                 independent and outperforms conventional CGP in this
                 application. This paper describes the additional
                 benefits of IRCGP when considering alternative
                 geometries for the hardware components. Results
                 presented show that smaller hardware arrays under IRCGP
                 are more robust and outperform equivalent arrays
                 implemented in conventional CGP.",

Genetic Programming entries for Xinye Cai Stephen L Smith Andrew M Tyrrell