Adaptive Selection of Crossover and Mutation Probability of Genetic Algorithm and Its Mechanism
遗传算法中交叉和变异概率选择的自适应方法及作用机理

Considering the deficiency of selection of crossover and mutation probability in traditional genetic algorithm, an improved algorithm of crossover and mutation probability is proposed, and the mechanism of new algorithm is thoroughly analyzed, the new algorithm reflects adaptive stratagem. New algorithm is tested with a complex mathematics function, the experimental results show that improved method is efficient. The new improved algorithm remedies the premature and local convergence problem of the old algorithm.