Genetic algorithms (GAs) are a class of population-based metaheuristic search methods inspired by principles of natural selection and evolution. They solve complex optimisation problems by encoding ...
Moth-Flame Optimization (MFO) algorithms constitute a family of nature-inspired metaheuristic techniques that simulate the transverse orientation behaviour of moths navigating by celestial light. In ...
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