本文在量子进化算法的基础上结合基于克隆选择学说的克隆算子,提出了改进的进化算法———量子克

隆进化策略算法(QCES) . 它既借鉴了量子进化算法的高效并行性又利用克隆算子来代替其中的变异和选择操作,以

增加种群的多样性,避免了早熟,且收敛速度快. 本文不仅从理论上证明了该算法的收敛,而且通过仿真实验表明了此

算法的优越性.-In this paper, quantum evolutionary algorithm based on the combination of clonal selection theory based on the cloning operator, made an improved evolutionary algorithm--- quantum cloning evolutionary strategy algorithm (QCES). It draws on quantum evolutionary algorithm and also makes use of parallelism and efficient cloning operator to replace one of the variation and selection of operation in order to increase population diversity to avoid premature, and fast convergence. This article is not only theoretically proved that the convergence of the algorithm, and through simulation experiments show the superiority of this algorithm .