量子粒子群优化算法 QPSO ; quantum-behaved particle swarm optimization algorithm ; quantum-behaved particle swarm optimization
形成量子蚁群优化算法 QACOA
在对所提算法有效性的测试中，量子组合优化算法无论对函数优化还是旅行商问题，都取得了较好的效果。
In testing the effectiveness of the proposed method, the quantum algorithm for combinatorial optimization both for function optimization problem or a traveling salesman, had achieved good results.
数值实验结果表明，与量子粒子群优化算法相比，该算法效率高、优化性能好，具有较强的避免局部极小能力，对初值具有较强的鲁棒性。
Numerical simulation results show that, compared with QDPSO, it is effective, with strong ability to avoid being trapped in local minima and robust to initial value.
结果表明，量子组合优化算法求解组合优化问题是有效的和可行的。
Experimental results show that the proposed algorithm is feasible and effective for solving optimal problems.
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