摘要
本文提出了一种改进粒子群优化算法。在进化中增加了个体间的协作机制,这种改进后的学习行为更符合自然界生物的学习规律,更有利于粒子发现问题的全局最优解。最后将该方法用于PERT网络工期—费用模型求解,数字仿真表明了算法的有效性。
A modified particle swarm optimization （MPSO） algorithm was proposed to solve the problem of time-cost optimization of network plans. In the improved algorithm, the cooperative mechanism among individuals has been introduced. This kind of study behavior accords with the biological natural law even more, and furthermore helps to find tile global optimum solution. For solving time-cost optimization problems of PERT network plans, numerical simulation results show the effectiveness and efficiency of the proposed method.
出处
《计算机应用与软件》
CSCD
北大核心
2006年第2期114-116,共3页
Computer Applications and Software
