Research output per year
Research output per year
Claude Carlet, Marko Durasevic, Domagoj Jakobovic*, Luca Mariot, Stjepan Picek
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Bent Boolean functions are important objects in cryptography and coding theory, and there are several general approaches for constructing such functions. Metaheuristics proved to be a strong choice as they can provide many bent functions, even when the size of the Boolean function is large (e.g., more than 20 inputs). While bent Boolean functions represent only a small part of all Boolean functions, there are several subclasses of bent functions providing specific properties and challenges. One of the more interesting subclasses comprises (anti-)self-dual bent Boolean functions. This paper provides a detailed experimentation with evolutionary algorithms with the goal of evolving (anti-)self-dual bent Boolean functions. We experiment with two encodings and two fitness functions to evolve self-dual bent Boolean functions. Our experiments consider Boolean functions with sizes of up to 16 inputs, and we successfully construct self-dual bent functions for each dimension. Moreover, we notice that the difficulty of evolving self-dual bent functions is similar to evolving bent Boolean functions, despite self-dual bent functions being much rarer.
Original language | English |
---|---|
Title of host publication | Genetic Programming |
Subtitle of host publication | 27th European Conference, EuroGP 2024, Held as Part of EvoStar 2024, Proceedings |
Editors | Mario Giacobini, Bing Xue, Luca Manzoni |
Publisher | Springer |
Pages | 161-175 |
Number of pages | 15 |
ISBN (Electronic) | 978-3-031-56957-9 |
ISBN (Print) | 978-3-031-56956-2 |
DOIs | |
Publication status | Published - 28 Mar 2024 |
Event | 27th European Conference on Genetic Programming, EuroGP 2024 - Aberystwyth, United Kingdom Duration: 3 Apr 2024 → 5 Apr 2024 Conference number: 27 |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 14631 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 27th European Conference on Genetic Programming, EuroGP 2024 |
---|---|
Abbreviated title | EuroGP 2024 |
Country/Territory | United Kingdom |
City | Aberystwyth |
Period | 3/04/24 → 5/04/24 |
Other | Held as Part of EvoStar 2024 |
Research output: Working paper › Preprint › Academic