An Analysis Of Random Number Generators For a Hardware Implementation of Genetic Programming Using FPGAs And Handel-C

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{martin:2002:gecco,
  author =       "Peter Martin",
  title =        "An Analysis Of Random Number Generators For a Hardware
                 Implementation of Genetic Programming Using {FPGAs} And
                 {Handel-C}",
  booktitle =    "GECCO 2002: Proceedings of the Genetic and
                 Evolutionary Computation Conference",
  editor =       "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and 
                 R. Roy and D. Davis and R. Poli and K. Balakrishnan and 
                 V. Honavar and G. Rudolph and J. Wegener and 
                 L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and 
                 E. Burke and N. Jonoska",
  year =         "2002",
  pages =        "837--844",
  address =      "New York",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "9-13 " # jul,
  publisher =    "Morgan Kaufmann Publishers",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-55860-878-8",
  URL =          "http://www.naiadhome.com/gp284.pdf",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2002/gp063.ps",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2002/gp063.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf",
  size =         "8 pages",
  abstract =     "This paper analyses the effect of using different
                 random number generators (RNG) in a hardware
                 implementation of Genetic Programming using Field
                 Programmable Gate Arrays. Hardware systems have
                 typically used RNGs based on Logical Feedback Shift
                 Registers or Cellular Automata. Different
                 configurations of these generators are evaluated as
                 well as using a source of true random numbers and a
                 standard multiply/add generator. The results show that
                 using a more sophisticated generator than a simple LFSR
                 slightly improves the performance of GP.",
  notes =        "GECCO-2002. A joint meeting of the eleventh
                 International Conference on Genetic Algorithms
                 (ICGA-2002) and the seventh Annual Genetic Programming
                 Conference (GP-2002)",
}

Genetic Programming entries for Peter Martin

Citations