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Autori principali: Carlet, Claude, Ðurasevic, Marko, Jakobovic, Domagoj, Mariot, Luca, Picek, Stjepan
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2411.12735
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author Carlet, Claude
Ðurasevic, Marko
Jakobovic, Domagoj
Mariot, Luca
Picek, Stjepan
author_facet Carlet, Claude
Ðurasevic, Marko
Jakobovic, Domagoj
Mariot, Luca
Picek, Stjepan
contents Evolving Boolean functions with specific properties is an interesting optimization problem since, depending on the combination of properties and Boolean function size, the problem can range from very simple to (almost) impossible to solve. Moreover, some problems are more interesting as there may be only a few options for generating the required Boolean functions. This paper investigates one such problem: evolving five-valued spectra Boolean functions, which are the functions whose Walsh-Hadamard coefficients can only take five distinct values. We experimented with three solution encodings, two fitness functions, and 12 Boolean function sizes and showed that the tree encoding is superior to other choices, as we can obtain five-valued Boolean functions with high nonlinearity.
format Preprint
id arxiv_https___arxiv_org_abs_2411_12735
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The More the Merrier: On Evolving Five-valued Spectra Boolean Functions
Carlet, Claude
Ðurasevic, Marko
Jakobovic, Domagoj
Mariot, Luca
Picek, Stjepan
Neural and Evolutionary Computing
Evolving Boolean functions with specific properties is an interesting optimization problem since, depending on the combination of properties and Boolean function size, the problem can range from very simple to (almost) impossible to solve. Moreover, some problems are more interesting as there may be only a few options for generating the required Boolean functions. This paper investigates one such problem: evolving five-valued spectra Boolean functions, which are the functions whose Walsh-Hadamard coefficients can only take five distinct values. We experimented with three solution encodings, two fitness functions, and 12 Boolean function sizes and showed that the tree encoding is superior to other choices, as we can obtain five-valued Boolean functions with high nonlinearity.
title The More the Merrier: On Evolving Five-valued Spectra Boolean Functions
topic Neural and Evolutionary Computing
url https://arxiv.org/abs/2411.12735