摘要
应急避难场所的选址是应急规划的关键职能。当前的应急规划往往是依据现有的公园、绿地、广场等来选择应急避难场所,难以满足实际应急疏散的需要。目前不少学者在最大覆盖选址模型的基础上提出了应急设施选址问题的相关模型。将准备度指标引入最大覆盖应急设施选址问题,综合考虑需求量、与设施的距离和距离决定的权重,对每个社区的应急服务覆盖程度进行量化,从而保证将应急避难场所设置在合理的位置。为了求解该模型,构建了多智能体进化算法。案例研究表明,该算法可以高效地求解最大准备度覆盖模型。
The emergency shelter location is the key function of emergency planning. Nowadays emergency planning often selects emergency shelter on the basis of existing park,green surface and square,and it is difficult to satisfy the need of actual emergency evacuation. At present,many scholars propose emergency shelter location model based on the maximal coverage problem. This paper introduces preparedness index into the problem about location of maximum coverage emergency facilities,considers comprehensively the demand,distance from the facilities and the weight determined by the distance,and quantizes emergenoy coverage degree of each community to guarantee that the emergency shelter is located in suitable position. To solve this model,this paper constructs a multi-agent evolutionary algorithm(MAEA). Results of case study prove that MAEA may solve the maximal preparedness coverage model with high efficiency.
出处
《自然灾害学报》
CSCD
北大核心
2015年第2期8-14,共7页
Journal of Natural Disasters
基金
国家自然科学基金项目(51008160)
关键词
应急避难场所
选址模型
准备度
多智能体
优化算法
emergency shelter
location model
preparedness
multi-agent body
optimal algorithm
