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

@TechReport{oai:CiteSeerPSU:569263,
  title =        "An Analysis of Random Number Generators for a Hardware
                 Implementation of Genetic Programming using FPGAs and
                 Handel-C",
  author =       "Peter Martin",
  year =         "2002",
  institution =  "Department of Computer Science, University of Essex",
  type =         "Technical Report",
  number =       "CSM-358",
  address =      "Wivenhoe Park, Colchester, CO4 3SQ UK.",
  month =        "24th " # jan,
  keywords =     "genetic algorithms, genetic programming",
  citeseer-isreferencedby = "oai:CiteSeerPSU:445301;
                 oai:CiteSeerPSU:97408; oai:CiteSeerPSU:245036;
                 oai:CiteSeerPSU:102011; oai:CiteSeerPSU:418692;
                 oai:CiteSeerPSU:240174; oai:CiteSeerPSU:226120",
  citeseer-references = "oai:CiteSeerPSU:441838; oai:CiteSeerPSU:43964;
                 oai:CiteSeerPSU:471279; oai:CiteSeerPSU:186935;
                 oai:CiteSeerPSU:178733; oai:CiteSeerPSU:16085;
                 oai:CiteSeerPSU:523041",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:569263",
  rights =       "unrestricted",
  URL =          "http://www.naiadhome.com/csm-358.pdf",
  URL =          "http://cswww.essex.ac.uk/technical-reports/2002/csm-358.ps",
  URL =          "http://citeseer.ist.psu.edu/569263.html",
  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. We show that using a
                 more sophisticated generator than a simple LFSR
                 slightly improves the performance of the hardware GP
                 system.",
  size =         "13 pages",
}

Genetic Programming entries for Peter Martin

Citations