A probabilistic approach to analyse the evolutionary process in circuit design

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "T. Kalganova and I. Baradavka",
  title =        "A probabilistic approach to analyse the evolutionary
                 process in circuit design",
  booktitle =    "Proceedings of the 9th International Conference on
                 Information Processing and Management of Uncertain
                 Knowledge-Based Systems, IPMU 2002",
  year =         "2002",
  editor =       "Bernadette Bouchon-Meunier and Laurent Foulloy and 
                 Ronald R. Yager",
  volume =       "2",
  pages =        "689--696",
  address =      "Annecy, France",
  month =        "1-5 " # jul,
  organisation = "University of Savoy, LISTIC - ESIA",
  email =        "ipmu2002@univ-savoie.fr",
  keywords =     "genetic algorithms, genetic programming, evolvable
  ISBN =         "2-9516453-1-7",
  abstract =     "One of the actual problems in the evolvable hardware
                 is the evolvability of logic circuits. In order to
                 understand better the nature of existing problem, the
                 probabilistic analysis can be used. This paper aims to
                 investigate how the circuit layout evolution is carried
                 out. This is interesting thing to do for two main
                 reasons. Firstly, to investigate what type of genes
                 mostly influence on the algorithm performance in
                 evolvable hardware. Secondly, to see how effective an
                 allocation of active logic gates might be in a digital
                 circuit design task. In order to achieve this goal we
                 investigate the genotypes of the best chromosomes which
                 bring some improvements in evolutionary process. The
                 logic circuits have been evolved using circuit layout
  notes =        "Was called LMPU opps

Genetic Programming entries for Tatiana Kalganova Igor Baradavka