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中文摘要：
提出了一种基于量子进化的量子群进化算法，使用量子角表示量子比特的状态，并引入改进的粒子群优化策略，对量子群中各量子的量子角进行自适应动态调整．在对0-1背包问题的求解中，表现出很好的性能．
英文摘要：
A novel Quantum Evolutionary Algorithm, Quantum Swarm Evolutionary （QSE）, based on Quantum-Inspired Evolutionary Algorithm （QEA）, is proposed in this paper. A novel quantum bit expression mechanism called quantum angle is employed and the improved particle swarm optimization is adopted to update the Q-bit automatically. The simulated results show that QSE is superior to QEA and many traditional heuristic algorithms in solving a 0-1 knapsack problem.
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