摘要
在分析常规粒子群优化算法的基础上,针对动态交通分配问题,采用一种带变异因子的改进的粒子群优化算法,并根据粒子群的群体适应度标准差和理论最优值,给出收敛判断的依据。实验表明该算法具有简单、高效、快速的特点。
Based on the analysis of the standard PSO, a particle swarm optimization with variation gene is used aiming at dynamic traffic assignment. A gist to judge convergence is presented with standard deviation and theoretical optimal solution. An example demonstrates that this algorithm is simple ,efficient and fast.
出处
《计算技术与自动化》
2006年第2期60-62,共3页
Computing Technology and Automation
基金
湖南省自然科学基金项目(03JJY3101)
关键词
粒子群优化算法
收敛性
动态交通分配
particle swarm optimization
convergence
dynamic traffic assignment
