An improved quantum genetic algorithm for grouping strategy

Based on the quantum genetic algorithm, a new improved quantum genetic algorithm is proposed by introducing the grouping optimization strategy of hybrid shuffled frog-leaping algorithm and combining the quantum variation and simulated annealing receiving criteria. The improved algorithm is applied to function optimization. The experimental results show that the proposed algorithm can improve the performance of the algorithm effectively and solve the satisfactory global optimal value.