Random Generator Quality and GP Performance

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Mark M. Meysenburg and James A. Foster",
  title =        "Random Generator Quality and GP Performance",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference",
  year =         "1999",
  editor =       "Wolfgang Banzhaf and Jason Daida and 
                 Agoston E. Eiben and Max H. Garzon and Vasant Honavar and 
                 Mark Jakiela and Robert E. Smith",
  volume =       "2",
  pages =        "1121--1126",
  address =      "Orlando, Florida, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "13-17 " # jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-55860-611-4",
  URL =          "http://citeseer.ist.psu.edu/471279.html",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-416.pdf",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-416.ps",
  abstract =     "In previous studies, the authors found that
                 pseudo-random number generator (PRNG) quality had
                 little effect on the performance of a simple genetic
                 algorithm (GA). This paper extends our work to the area
                 of genetic programming (GP). We examine the effect of
                 PRNG quality on the performance of GP techniques. We
                 detail a set of PRNGs which generate random numbers
                 through various techniques, and a method for evaluating
                 the quality of these PRNGs. We explain the application
                 of detailed statistical analysis to the results of many
                 individual GP runs, over a set of four GP test
                 problems. We found no evidence to support the notion
                 that higher quality PRNGs caused improved GP
  notes =        "GECCO-99 A joint meeting of the eighth international
                 conference on genetic algorithms (ICGA-99) and the
                 fourth annual genetic programming conference (GP-99)",

Genetic Programming entries for Mark M Meysenburg James A Foster