Investigation of Various Mutation Methods in Genetic Algorithms – Alireza Mahmoodi Fard
Eghtesad Digital va Hoosh Masnooei | 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. This note investigates various mutation methods, examining their impact on the performance and effectiveness of GAs. The findings indicate that...
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