GEVOSH: Using Grammatical Evolution to Generate Hashing Functions

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@InProceedings{DBLP:conf/maics/BerarducciJMS04,

• 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 2004",
• year = "2004",
• editor = "Eric G. Berkowitz",
• pages = "31--39",
• address = "Chicago, USA",
• month = apr # " 16-18",
• organisation = "Roosevelt University, Computer Science and Telecommunications",
• publisher = "Omnipress",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution, genetic improvement",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.3.4612.pdf",
• 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, http://dblp.uni-trier.de",

}

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

Citations