A New Method of Evolving Digital Circuit Based on Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Kangshun Li and Jiusheng Liang and Wensheng Zhang and 
                 Feng Wang",
  title =        "A New Method of Evolving Digital Circuit Based on Gene
                 Expression Programming",
  booktitle =    "2008 IEEE World Congress on Computational
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "905--908",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0231.pdf",
  DOI =          "doi:10.1109/CEC.2008.4630903",
  abstract =     "Evolutionary Hardware (EHW) is a new focus in recent
                 research work. The new method of design hardware is
                 combined evolution algorithm with programmable logic
                 device. Optimization digital circuit is a main domain
                 of EHW. The algebra way and Karnaugh map way are the
                 traditionary methods, but they will meet trouble with
                 the large scale ones to get optimisation structure of
                 circuit. This paper proposes a new method (GEP) to
                 optimise the complex digital circuit and designs a new
                 function fitness. The experiments demonstrate the GEP
                 is not only fast convergence but also optimisation
                 large circuit. It conquers the slow convergence even
                 not convergence of the traditionary method. The GEP
                 algorithm is simpler and more efficient than the
                 traditional ones.",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming",
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",

Genetic Programming entries for Kangshun Li Jiusheng Liang Wensheng Zhang Feng Wang