说明：  量子进化算法的性能直接受量子旋转门旋转角计算方法的影响.文中提出一种改进量子进化算法，核心是设计了一种基于量子比特概率幅比值自适应计算量子旋转门旋转角的新方法，算法具有收敛速度快快与全局搜索能力强的特点.通通过011背包问题分析了新方法中相关参数对算法性能的影响，并应用算法求解物流配送路径优化问题，仿真表明改进量子进化算法性能优于量子进化算法与传统进化算法.
(Quantum evolutionary algorithm performance is directly affected by the rotation angle calculation method of quantum rotation gate. This paper presents an improved quantum evolutionary algorithm, the core is designed based on the probability amplitude of qubit ratio of Adaptive Computing the rotation angle of quantum rotation gate, algorithm has a convergence speed quickly with strong global search ability to pass through the 011 knapsack problem, the new method parameters on the performance of the algorithm, and apply the algorithm to solve the logistics and distribution routing problem, the simulation show that the improved quantum evolutionary algorithm for superior performance quantum evolutionary algorithm with the traditional evolutionary algorithm.)