摘要：为解决不确定环境下的闭环物流网络设计问题,在消费者需求为随机量的情况下,考虑设施选址和节点间运输路线的决策,采用机会约束规划方法,以物流成本最小化为目标,建立一个闭环物流网络随机规划模型。根据问题的特点,以MATLAB为平台,编写了一个基于优先级编码的遗传算法代码,分别利用遗传算法和CPLEX对若干算例的求解结果进行了对比分析,验证了所提算法的可行性,并就需求变化进行了分析,结果表明随机规划模型的决策具有合理性和适用性。

摘要：This work considers those road networks in which there are multi-route choices for bifurcation-destination(or origin-destination) pairs, and designs a real-time variable message sign(VMS)-based routing control strategy in the model predictive control(MPC) framework. The VMS route recommendation provided by the traffic management authority is directly considered as the control variable, and the routing control model is established, in which a multi-dimensional control vector is introduced to describe the influence of route recommendations on flow distribution. In the MPC framework, a system optimum routing strategy with the constraints regarding drivers' acceptability with recommended routes is designed, which can not only meet the traffic management authority's control requirement but also improve drivers' satisfaction with the route guidance system. The simulation carried out shows that the proposed routing control can effectively mitigate traffic congestion, reduces followers' time delay, and improves drivers' satisfaction with routing control in road networks.