GEVOSH: Using Grammatical Evolution to Generate Hashing Functions
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{DBLP:conf/maics/BerarducciJMS04,
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author = "Patrick Berarducci and Demetrius Jordan and
David Martin and Jennifer Seitzer",
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title = "{GEVOSH}: Using Grammatical Evolution to Generate
Hashing Functions",
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booktitle = "Proceedings of the Fifteenth Midwest Artificial
Intelligence and Cognitive Sciences Conference, MAICS
2004",
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year = "2004",
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editor = "Eric G. Berkowitz",
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pages = "31--39",
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address = "Chicago, USA",
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month = apr # " 16-18",
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organisation = "Roosevelt University, Computer Science and
Telecommunications",
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publisher = "Omnipress",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution, genetic improvement",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.3.4612.pdf",
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size = "8.5 pages",
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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.",
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notes = "Compares with six existing hash functions. Large
variation? See \cite{berarducci:2004:ugw:pber}",
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bibsource = "DBLP, http://dblp.uni-trier.de",
- }
Genetic Programming entries for
Patrick Berarducci
Demetrius Jordan
David Martin
Jennifer Seitzer
Citations