A Novel Genetic Algorithm for Evolvable Hardware

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Emanuele Stomeo and Tatiana Kalganova and 
                 Cyrille Lambert",
  title =        "A Novel Genetic Algorithm for Evolvable Hardware",
  booktitle =    "Proceedings of the 2006 IEEE Congress on Evolutionary
  year =         "2006",
  editor =       "Gary G. Yen and Lipo Wang and Piero Bonissone and 
                 Simon M. Lucas",
  pages =        "441--448",
  address =      "Vancouver",
  month =        "6-21 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, EHW, trackless genetic
  ISBN =         "0-7803-9487-9",
  DOI =          "doi:10.1109/CEC.2006.1688300",
  size =         "8 pages",
  abstract =     "Evolutionary algorithms are used for solving search
                 and optimisation problems. A new field in which they
                 are also applied is evolvable hardware, which refers to
                 a self-configurable electronic system. However,
                 evolvable hardware is not widely recognised as a tool
                 for solving real-world applications, because of the
                 scalability problem, which limits the size of the
                 system that may be evolved. In this paper a new genetic
                 algorithm, particularly designed for evolving logic
                 circuits, is presented and tested for its scalability.
                 The proposed algorithm designs and optimises logic
                 circuits based on a Programmable Logic Array (PLA)
                 structure. Furthermore it allows the evolution of large
                 logic circuits, without the use of any decomposition
                 techniques. The experimental results, based on the
                 evolution of several logic circuits taken from three
                 different benchmarks, prove that the proposed algorithm
                 is very fast, as only a few generations are required to
                 fully evolve the logic circuits. In addition it
                 optimizes the evolved circuits better than the
                 optimisation offered by other evolutionary algorithms
                 based on a PLA and FPGA structures.",
  notes =        "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
                 the IEE.

                 IEEE Catalog Number: 06TH8846D

                 Not a GP but does comparisons with CGP and trackless
                 genetic programming",

Genetic Programming entries for Emanuele Stomeo Tatiana Kalganova Cyrille Lambert