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HUSA, J. SEKANINA, L.
Original Title
Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions
Type
abstract
Language
English
Original Abstract
Bent functions are a type of Boolean functions with properties that make them useful in cryptography. In this paper we propose a new semantic mutation operator for design of bent Boolean functions via genetic programming. To assess the efficiency of the proposed operator, we compare it to several other commonly used non-semantic mutation operators. Our results show that semantic mutation makes the evolutionary process more efficient, and significantly decreases the number of fitness function evaluations required to find a bent function.
Keywords
Genetic Programming, Semantic Mutation, Bent Boolean Functions.
Authors
HUSA, J.; SEKANINA, L.
Released
12. 4. 2023
Location
Brno
Pages count
4
URL
https://www.fit.vut.cz/research/publication/12983/
BibTex
@misc{BUT186710, author="Jakub {Husa} and Lukáš {Sekanina}", title="Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions", booktitle="Evo* 2023 -- Late-Breaking Abstracts Volume", year="2023", pages="4", address="Brno", url="https://www.fit.vut.cz/research/publication/12983/", note="abstract" }