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A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes
In the last 30 years, evolutionary algorithms have been shown to be a strong option for evolving Boolean functions in different sizes and with different properties.
Look into the Mirror: Evolving 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.
A New Angle: On Evolving Rotation Symmetric Boolean Functions
Rotation symmetric Boolean functions represent an interesting class of Boolean functions as they are relatively rare compared to general Boolean functions.
Evolutionary Strategies for the Design of Binary Linear Codes
The design of binary error-correcting codes is a challenging optimization problem with several applications in telecommunications and storage, which has also been addressed with metaheuristic techniques and evolutionary algorithms.
Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions
Finding balanced, highly nonlinear Boolean functions is a difficult problem where it is not known what nonlinearity values are possible to be reached in general.
