The synthesis of digital circuits has evolved significantly with advancements in technology and methodologies. Intelligent methods, particularly machine learning (ML) and artificial intelligence (AI), have been increasingly integrated into the design processes of digital circuits.
Genetic algorithms (GAs) are robust search heuristics inspired by natural evolution, widely used for optimization problems across multiple domains. Mutation is a critical operator in GAs, introducing genetic diversity and helping to avoid local optima.