Purpose: Aim at choosing a relative good vehicle routing in emergency conditions under constraint conditions when disaster happens. Rapid response and rescue can save a lot of people.\ud\udDesign/methodology/approach: Modeling analysis: establishing a mathematical model of multi-objective emergency logistics vehicle routing problem. And in end of the paper, we intend to use genetic algorithms to solve the problem.\ud\udFindings: Considering time requirement and cost limit both while choosing vehicle routing when the disasters happens is meaningful. We can get a relative good result and give a guidance to rescue teams.\ud\udOriginality/value: Consider cost and time objectives and kinds of realistic conditions (such as the road congestion) in the model when solving the problem, having expanded the theory scope.
展开▼
机译：目的：旨在在灾害发生时的约束条件下，在紧急情况下选择相对良好的车辆路线。快速响应和救援可以节省很多人。\ ud \ ud设计/方法/方法：建模分析：建立多目标应急物流车辆路线问题的数学模型。最后，我们打算使用遗传算法解决该问题。\ ud \ ud发现：在灾难发生时选择车辆路线时，同时考虑时间要求和成本限制是有意义的。 \ ud \ ud原始性/价值：解决问题时，请考虑模型中的成本和时间目标以及各种实际情况（例如道路拥堵），并扩大救援范围。理论范围。
展开▼
