Use of a multi-objective fitness function to improve cartesian genetic programming circuits

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{Hilder:2010:AHS,
  author =       "James Hilder and James A. Walker and Andy Tyrrell",
  title =        "Use of a multi-objective fitness function to improve
                 cartesian genetic programming circuits",
  booktitle =    "2010 NASA/ESA Conference on Adaptive Hardware and
                 Systems (AHS)",
  year =         "2010",
  month =        "15-18 " # jun,
  pages =        "179--185",
  abstract =     "This paper describes an approach of using a
                 multi-objective fitness function to improve the
                 performance of digital circuits evolved using CGP.
                 Circuits are initially evolved for correct
                 functionality using conventional CGP before the NSGA-II
                 algorithm is used to extract circuits which are more
                 efficient in terms of design complexity and delay. This
                 approach is used to evolve typical digital-system
                 building block circuits with results compared to
                 standard-CGP, other evolutionary methods and
                 conventional designs.",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming",
  doi =          "doi:10.1109/AHS.2010.5546262",
  notes =        "Hex to 7-Segment Display Driver. Also known as
                 \cite{5546262}",
}

Genetic Programming entries for James A Hilder James Alfred Walker Andrew M Tyrrell