北京师范大学学报（自然科学版）2018，Vol.54Issue(2)：217-223,7.DOI:10.16360/j.cnki.jbnuns.2018.02.012
粒子群算法在地震灾害应急避难所选址中的应用:以云南省鲁甸县文屏镇为例
Analysis of earthquake emergency shelter location selection based on particle swarm optimization algorithm: Wenping of Ludian in Yunnan Province as a case
摘要
Abstract
Locations and allocations of earthquake shelters were examined for Wenping, Ludian, Yunnan Province. Geographic data, population data, candidate shelter data from local government were used to model location and allocation with two objectives (minimizing total evacuation distance and total shelter area) and with two constraints (maximal service radius and maximal capacity). The model was then used to obtain schemes of location and allocation with MPSO algorithm. A comprehensive evaluation index was used to analyze simulation results. Schemes 6,12,1,12 were found to be best in safety, capacity, cost and comprehensiveness respectively. These data would provide some theoretical basis for earthquake shelter location and allocation.关键词
避难所选址/多目标/综合评价/文屏镇Key words
disaster shelter site selection/multi-objective/comprehensive evaluation/Wenping Town分类
资源环境引用本文复制引用
赵秀娟,马运佳,梁埔君,秦连杰,周洪建,袁艺,徐伟..粒子群算法在地震灾害应急避难所选址中的应用:以云南省鲁甸县文屏镇为例[J].北京师范大学学报（自然科学版）,2018,54(2):217-223,7.基金项目
高等学校创新引智计划资助项目(B08008) （B08008）
国家自然科学基金资助项目(41201547) （41201547）
国家科技支撑计划资助项目(2013BAK05B02) （2013BAK05B02）
