【摘要】 以地震为背景,考虑灾害发生时需求不确定的条件,建立基于情景分析的随机整数规划模型,解决针对自然灾害的应急资源布局问题.将灾害发生后的情景划分成两个阶段的随机事件,前一个随机事件表示灾害刚发生后震源位置、震级大小的信息;后一个表示当震源和震级的信息确定后,各个灾区的需求量.利用有限个情景表示不确定性数据.通过松弛非预期约束,将松弛问题按照情景分解,并利用分支定界算法求解Lagrange松弛问题.数值试验表明,建立的模型是实际可行的,而且算法也是有效的.更多还原

【Abstract】 We propose a stochastic programming model to determine a rescue resource layout system for earthquake disasters.Randomness is represented by a finite sample of scenarios with two stage stochastic evens.One event is information about epicenter and magnitude and the other is resource requirements of demand points.The proposed model is solved using a Dual Decomposition algorithm,which makes use of special structure of the model.Finally,we propose a case study to highlight efficiency of the proposed solution strategy.更多还原