计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (19): 195-198.
• 工程与应用 • 上一篇 下一篇
肖 辉,严 勇,萧蕴诗,吴启迪
收稿日期:
修回日期:
出版日期:
发布日期:
通讯作者:
XIAO Hui,YAN Yong,XIAO Yun-shi,WU Qi-di
Received:
Revised:
Online:
Published:
Contact:
摘要: 以2010年上海世博园区的总体规划方案为基础,构建参观者在园区内部游览路线的基本模型,利用智能微粒群算法进行路径优化,提供最优方案求解的指导性策略。并针对路径中关键节点的拥塞问题,提出了游客流量的控制策略。
Abstract: Visiting-route optimization strategy based on swarm intelligence inside Shanghai EXPO Area is discussed in this paper.Basic design model for visiting route optimization inside Shanghai-EXPO-Area is derived,grounded on the general planning blue-print of 2010 Shanghai EXPO.Meanwhile the optimal induction scheme of the visiting route can be solved using particle swarm optimization algorithm.In addition,a primary traffic-flow control model for the local bottleneck node is proposed.
肖 辉,严 勇,萧蕴诗,吴启迪. 上海世博园区路径智能优化及流量控制策略[J]. 计算机工程与应用, 2007, 43(19): 195-198.
XIAO Hui,YAN Yong,XIAO Yun-shi,WU Qi-di. Swarm intelligence based visiting-route optimization and flow control strategy inside shanghai-EXPO-Area[J]. Computer Engineering and Applications, 2007, 43(19): 195-198.
0 / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://cea.ceaj.org/CN/
http://cea.ceaj.org/CN/Y2007/V43/I19/195