论文部分内容阅读
突发灾害的应急物资调度是减轻人民财产损失、防止次生灾害发生、保障社会稳定的必要支撑。借助模糊数学中的三角模糊数学方法对不确定的需求信息特征进行描述,用模糊函数积分确定车辆在路段的模糊行驶时间。以应急车辆调度的总时间最短为调度的主要目标,同时配送数量应最大限度地满足需求点的需求量为次要目标建立应急车辆调度模型。然后设计粒子群算法对模型进行求解。最后通过算例,验证建立的模型拟合现实中的情况,结果不是确定数值,而是模糊数值范围的优化。
Disaster emergency supplies scheduling is to reduce the loss of people’s property, to prevent secondary disasters and safeguard social stability necessary support. With fuzzy mathematics, the triangular fuzzy mathematics method is used to describe the characteristics of uncertain demand information, and fuzzy integral is used to determine the fuzzy driving time of vehicles in the road section. The shortest total time for emergency vehicle dispatching is the main goal of dispatching. At the same time, the quantity of dispatching should satisfy the demand of demand point as the secondary objective to establish emergency vehicle dispatching model. Then design particle swarm optimization algorithm to solve the model. Finally, an example is given to verify that the established model fits the real situation. The result is not a definite value, but an optimization of the fuzzy numerical range.