【摘要】 提出基于区域灾害系统理论来构建复杂灾害情景,用于描述突发事件的复杂性和高度不确定性.基于复杂灾害情景建立了一个两阶段随机规划模型,进行应急设施的定位决策、应急物资的库存决策和不同灾害情景下应急物资分配预案的制定.使用新的编码方式,将第一阶段的选址-库存模型转化为一个无约束非线性优化模型,使用自适应免疫克隆选择文化算法进行求解.对于第二阶段的应急物资分配模型,则提出了"势能抵消算法".最后基于四川地震带的相关数据给出了算例,验证了模型及算法的有效性与可行性.更多还原

【Abstract】 Complex disaster scenarios are constructed based on regional disaster system theory to describe complexity and high degree of uncertainty of emergencies.Then a two-stage stochastic programming model is established based on disaster scenarios to solve emergency facilities location problem,relief supplies inventory problem and relief supplies allocation planning problem in different disaster scenarios.To use adaptive immune clonal selection cultural algorithm,the location-inventory model in the first stage is converted into an unconstrained nonlinear optimization model by new encoding.And a potential cancellation algorithm is proposed to solve the relief supplies allocation model in the second stage.Finally a numerical example is given based on the Sichuan earthquake zone to verify the effectiveness and feasibility of the model and algorithm.更多还原