- 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, genetic improvement, hashing: poster",
- ISBN = "1-55860-708-0",
- broken = "http://www.insanemath.com/hash/",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2000/RW054.pdf",
-
URL = "
http://gpbib.cs.ucl.ac.uk/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 \cite{whitley:2000:GECCO}",
