Abstract
Designing bent Boolean functions for cryptographic applications is a challenging combinatorial task due to the super-exponential growth of the search space. We propose Evolutionary Boolean Reaction Systems (EvoBRS), an optimization method based on Reaction Systems (RS)—a bio-inspired model abstracting biochemical reactions. EvoBRS finds functions with competitive nonlinearity while providing a compact and interpretable representation. Unlike traditional methods such as Genetic Algorithms (GA), which rely on full truth tables, EvoBRS leverages a more expressive yet concise encoding.
| Original language | English |
|---|---|
| Title of host publication | GECCO 2025 Companion - Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion |
| Editors | Gabriela Ochoa |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 195-198 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798400714641 |
| DOIs | |
| Publication status | Published - 11 Aug 2025 |
| Event | 2025 Genetic and Evolutionary Computation Conference Companion, GECCO 2025 - NH Málaga, Malaga, Spain Duration: 14 Jul 2025 → 18 Jul 2025 |
Conference
| Conference | 2025 Genetic and Evolutionary Computation Conference Companion, GECCO 2025 |
|---|---|
| Abbreviated title | GECCO 2025 |
| Country/Territory | Spain |
| City | Malaga |
| Period | 14/07/25 → 18/07/25 |
Keywords
- Bent functions
- Cryptographic Boolean functions
- Evolutionary Algorithms
- Evolutionary Reaction Systems
- Reaction Systems
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