文件名称:Animprovedquantumevolutionaryalgorithm
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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和全局搜索能力强
的特点.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和传统进化算法.
-Quantum evolutionary algorithm performance directly affected by the quantum spin the revolving door method of calculating the impact angle. This paper presents an improved quantum evolutionary algorithm, the core is designed based on the probability amplitude qubit quantum calculation of the ratio of adaptive revolving door rotation angle of the new method, the algorithm has convergence speed and global search capability characteristics. 011 knapsack problem through analysis of a new method related parameters on algorithm performance, and apply the path algorithm to optimize logistics and distribution issues, simulation results show that the quantum evolution algorithm to improve performance is better than the quantum evolution algorithm and traditional evolutionary algorithm.
设计了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和全局搜索能力强
的特点.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和传统进化算法.
-Quantum evolutionary algorithm performance directly affected by the quantum spin the revolving door method of calculating the impact angle. This paper presents an improved quantum evolutionary algorithm, the core is designed based on the probability amplitude qubit quantum calculation of the ratio of adaptive revolving door rotation angle of the new method, the algorithm has convergence speed and global search capability characteristics. 011 knapsack problem through analysis of a new method related parameters on algorithm performance, and apply the path algorithm to optimize logistics and distribution issues, simulation results show that the quantum evolution algorithm to improve performance is better than the quantum evolution algorithm and traditional evolutionary algorithm.
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改进量子进化算法及其在物流配送路径优化问题中的应用.caj