最近两年比较流行的量子进化算法（QEA），能够求解一般的优化问题。算例是一个典型的背包问题（离散二值问题）。-The more popular the last two years the quantum evolutionary algorithm (QEA), be able to solve the general optimization problems. An example is a typical knapsack problem (discrete binary problem

本文将以改进后的单细胞FPTA2作为硬件演化平台，引入QEA控制其演化过程，通过实验证明在该平台上，QEA对演化过程的控制效果要优于传统的遗传算法。-This paper proposes the use of quantum-inspired evolutionary algorithm in analog evolvable hardware (EHW). The circuit coding representation, chromosome fitness evaluation met

用matlab编写的最基本的量子进化算法,运行main函数即可。-Using matlab basic quantum evolutionary algorithm, you can run the main function.