【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.更多还原

【Abstract】 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.更多还原