The tasks of disaster relief campaign within military operations other than war comprise emergency roadway repair and relief distribution; however, there exists interrelationship between the two kinds of tasks, and some other challenges, such as fuzzy stochastic demand and variable network structure, are also confronted in scheduling of this kind of campaign. According to the above situation, a bi-level hierarchy optimization model for emergency resource scheduling in a network with non-deterministic attributes was proposed, and a hybrid intelligent heuristic algorithm which combines fuzzy random simulation with improved genetic algorithm was also designed. At last, a data case was presented to highlight the significance of the proposed model as well as the efficacy of the designed algorithm.%抢险救灾非战争军事行动包括道路抢修和物资运输等任务,而这两类任务在灾后应急资源调度中存在关联性的影响,且面临路网结构可变及需求随机模糊等挑战,对此,提出了一种非确定性应急资源调度网络双层规划模型,设计了基于蒙特卡洛方法与遗传算法耦合的智能启发式求解策略.通过对典型情境下应急资源调度案例进行分析建模和数值求解,说明了该模型和算法的合理性和有效性.
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