摘要
突发公共事件发生后,应急资源调度作为应急管理的重要环节,是其实现救援价值的重要体现.首先从应急管理角度分析了资源调度策略的影响因素,然后以优化时间满意度、成本耗费和需求满意度为目标构建多目标应急资源调度模型,通过引入粒子群算法求解多目标函数,决策出效用满意度最大的资源调度方案.最后,以效用满意度作为应急资源调度的均衡性指标.仿真实验结果表明,该方法具有较好的效用满意度,提高了资源调度的有效性.
After the occurrence of public emergency,resource scheduling is an important part of emergency management which is the realization of the rescue value. Firstly,the influencing factors of resource scheduling policy is analyzed from the perspective of emergency management. Secondly,the emergency resource scheduling model is established to optimize the time satisfaction,expenses cost and the demand satisfaction. Besides,this paper solves multi-objective resource scheduling using the particle swarm algorithm and chooses the resource scheduling scheme of the greatest utility satisfaction. Finally,utility satisfaction is used as the balance index of emergency resource scheduling. The simulation results show that this method has better utility satisfaction and improves the effectiveness of resource scheduling greatly.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2017年第S1期1-4,9,共5页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金项目(61272515)
国家科技支撑计划项目(2015BAH03F02
2015BAI11B01)
关键词
应急救援
多目标
资源调度
粒子群算法
效用函数
emergency rescue
multi-objective
resource scheduling
particle swarm optimization
utility function
