Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Grochol:2018:EuroGP,
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author = "David Grochol and Lukas Sekanina",
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title = "Multi-Objective Evolution of Ultra-Fast
General-Purpose Hash Functions",
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booktitle = "EuroGP 2018: Proceedings of the 21st European
Conference on Genetic Programming",
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year = "2018",
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month = "4-6 " # apr,
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editor = "Mauro Castelli and Lukas Sekanina and
Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez",
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series = "LNCS",
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volume = "10781",
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publisher = "Springer Verlag",
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address = "Parma, Italy",
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pages = "187--202",
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organisation = "EvoStar, Species",
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keywords = "genetic algorithms, genetic programming: Poster",
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isbn13 = "978-3-319-77552-4",
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DOI = "doi:10.1007/978-3-319-77553-1_12",
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abstract = "Hashing is an important function in many applications
such as hash tables, caches and Bloom filters. In past,
genetic programming was applied to evolve
application-specific as well as general-purpose hash
functions, where the main design target was the quality
of hashing. As hash functions are frequently called in
various time-critical applications, it is important to
optimize their implementation with respect to the
execution time. In this paper, linear genetic
programming is combined with NSGA-II algorithm in order
to obtain general-purpose, ultra-fast and high-quality
hash functions. Evolved hash functions show highly
competitive quality of hashing, but significantly
reduced execution time in comparison with the state of
the art hash functions available in literature.",
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notes = "Part of \cite{Castelli:2018:GP} EuroGP'2018 held in
conjunction with EvoCOP2018, EvoMusArt2018 and
EvoApplications2018",
- }
Genetic Programming entries for
David Grochol
Lukas Sekanina
Citations