In this thesis we present several hybrid particle swarm optimization algorithms to solve the traveling salesman problem, the flow-shop scheduling problem and the forecasting problems respectively.

• 在本论文中我们发展了数种混合式粒子群最佳化演算法来解决旅行推销员问题，流水型工厂排程问题，以及预测问题。