A New Adaptive Parallel Genetic Algorithm

摘要

This paper studies the improvement of parallel genetic algorithm. It mainly focuses on the application of adaptive crossover and adaptive mutation to achieve AGA in the population evolution of SGA. It also investigates the application of adaptive strategy to achieve AMPGA in the migration of PGA. On this basis, it puts forward a new algorithm APGA and demonstrates the feasibility and superiority of APGA by providing solutions to functions.