节点文献
基于遗传算法的城市避震疏散优化模型研究
Study on Urban Seismic Evacuation Optimization Model Based on Genetic Algorithm
【摘要】 通过引入当量长度的概念,构建了有组织疏散的城市避震疏散优化模型,并采用遗传算法(GA)实现了模型的优化求解;当量长度考虑了疏散环节各种影响因素,较之单纯采用道路长度作为疏散距离而言更有实际意义;最后以青岛市某次假设地震为例,在GIS平台下实现了对避震疏散方案的可视化表达。
【Abstract】 A seismic evacuation optimized model based on equivalent length is proposed and solution is achieved with Genetic Algorithm.Compared with the road length,the equivalent length which takes various evacuation factors into account holds more practical significance in terms of evacuation issue.At last,a seismic evacuation of a scenario earthquake in Qingdao is exhibited as a visual example based on GIS platform.
【关键词】 避震疏散规划;
当量长度;
遗传算法;
【Key words】 seismic evacuation planning; equivalent length; genetic algorithm;
【Key words】 seismic evacuation planning; equivalent length; genetic algorithm;
【基金】 国家自然科学基金项目(50778167)资助
- 【文献出处】 中国海洋大学学报(自然科学版) ,Periodical of Ocean University of China , 编辑部邮箱 ,2009年06期
- 【分类号】P315.9
- 【被引频次】5
- 【下载频次】235