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Function optimization based on traditional genetic algorithm is easy to fall into local extremum, so that adaptive genetic algorithm is proposed to solve this problem. However, traditional adaptive genetic algorithm has some disadvantages, such as low efficiency and instability. This study presents an improved adaptive genetic algorithm. Specifically, the crossover probability and the mutation probability...
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