| 改进粒子群算法在动态交通分配问题中的应用 |
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| 引用本文： | 陈曦,傅明. 改进粒子群算法在动态交通分配问题中的应用[J]. 计算技术与自动化, 2006, 25(2): 60-62 |
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| 作者姓名： | 陈曦 傅明 |
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| 作者单位： | 长沙理工大学计算机与通讯工程学院应用教研室,湖南,长沙,410076;长沙理工大学计算机与通讯工程学院应用教研室,湖南,长沙,410076 |
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| 基金项目： | 浙江省湖州市自然科学基金 |
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| 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。
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| 关 键 词： | 粒子群优化算法 收敛性 动态交通分配 |
| 文章编号： | 1003-6199（2006）02-0060-03 |
| 收稿时间： | 2006-02-10 |
| 修稿时间： | 2006-02-10 |
Application on Improved Particle Swarm Optimization in Dynamic Traffic Assignment |
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| CHEN Xi,FU Ming. Application on Improved Particle Swarm Optimization in Dynamic Traffic Assignment[J]. Computing Technology and Automation, 2006, 25(2): 60-62 |
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| Authors: | CHEN Xi FU Ming |
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| Affiliation: | Institute of Computer and Communication Engineering , University of Changsha Science and Technology, Changsha 410076, China |
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| Abstract: | 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. |
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| Keywords: | particle swarm optimization convergence dynamic traffic assignment |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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