GEVOSH: Using Grammatical Evolution to Generate Hashing Functions

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

  author =       "Patrick Berarducci and Demetrius Jordan and 
                 David Martin and Jennifer Seitzer",
  title =        "GEVOSH: Using Grammatical Evolution to Generate
                 Hashing Functions",
  booktitle =    "Proceedings of the Fifteenth Midwest Artificial
                 Intelligence and Cognitive Sciences Conference, MAICS
  year =         "2004",
  editor =       "Eric G. Berkowitz",
  pages =        "31--39",
  address =      "Chicago, USA",
  month =        apr # " 16-18",
  organisation = "Roosevelt University, Computer Science and
  publisher =    "Omnipress",
  keywords =     "genetic algorithms, genetic programming, Grammatical
  URL =          "",
  size =         "8.5 pages",
  abstract =     "In this paper, we present system GEVOSH, Grammatically
                 Evolved Hashing. GEVOSH evolves hashing functions using
                 grammatical evolution techniques. Hashing functions are
                 used to expedite search in a wide number of domains. In
                 our work, GEVOSH created hashing functions that, on
                 average, perform better than many standard
                 (human-generated) hash functions extracted from the
                 literature. In this paper, we present the architecture
                 of system GEVOSH, its main components and algorithms,
                 and resultant generated hash functions along with
                 comparisons to standard, human-generated functions.",
  notes =        "Compares with six existing hash functions. Large
                 variation? See \cite{berarducci:2004:ugw:pber}",
  bibsource =    "DBLP,",

Genetic Programming entries for Patrick Berarducci Demetrius Jordan David Martin Jennifer Seitzer