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GROCHOL, D. SEKANINA, L.
Original Title
Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions
Type
conference paper
Language
English
Original 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.
Keywords
NSGA-II, linear genetic programming, hash function
Authors
GROCHOL, D.; SEKANINA, L.
Released
3. 4. 2018
Publisher
Springer International Publishing
Location
Berlin
ISBN
978-3-319-77553-1
Book
European Conference on Genetic Programming
Edition
Lecture Notes in Computer Science
Pages from
187
Pages to
202
Pages count
16
URL
https://www.fit.vut.cz/research/publication/11552/
BibTex
@inproceedings{BUT147190, author="David {Grochol} and Lukáš {Sekanina}", title="Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions", booktitle="European Conference on Genetic Programming", year="2018", series="Lecture Notes in Computer Science", volume="10781", pages="187--202", publisher="Springer International Publishing", address="Berlin", doi="10.1007/978-3-319-77553-1\{_}12", isbn="978-3-319-77553-1", url="https://www.fit.vut.cz/research/publication/11552/" }
Documents
euroGP.pdf