Evolutionary Techniques Applied to Hashing: An efficient data retrieval method

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

  author =       "Daniar Hussain and Steven Malliaris",
  title =        "Evolutionary Techniques Applied to Hashing: An
                 efficient data retrieval method",
  pages =        "760",
  year =         "2000",
  publisher =    "Morgan Kaufmann",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference (GECCO-2000)",
  editor =       "Darrell Whitley and David Goldberg and 
                 Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer",
  address =      "Las Vegas, Nevada, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "10-12 " # jul,
  keywords =     "genetic algorithms, genetic programming, hashing,
  ISBN =         "1-55860-708-0",
  broken =       "http://www.insanemath.com/hash/",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2000/RW054.pdf",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2000/RW054.ps",
  size =         "1 page",
  abstract =     "Hashing is an efficient method for storage and
                 retrieval of large amounts of data. Presented here is
                 an evolutionary algorithm to locate efficient hashing
                 functions for specific data sets by sampling and
                 evolving from the set of polynomials. Functions derived
                 in this way show consistently better performance than
                 other common hashing methods, and indicate the power of
                 evolutionary algorithms in search and retrieval.",
  notes =        "Evolves better hash function.

                 A joint meeting of the ninth International Conference
                 on Genetic Algorithms (ICGA-2000) and the fifth Annual
                 Genetic Programming Conference (GP-2000) Part of

Genetic Programming entries for Daniar Hussain Steven Malliaris