Joint relocation and pricing in electric car-sharing systems
研究了电动汽车共享系统中，如何同时决定区域间定价和员工车辆调度以应对未来不确定需求，提出了两阶段随机规划模型和ALNS启发式算法，在真实数据上验证了算法优于商业求解器。
In this paper we study the integrated planning problem of determining car-sharing prices between zones of the operating area and routing employees (operators) to relocate cars in preparation for future uncertain demand. We present a novel two-stage integer stochastic programming model for this problem together with a heuristic algorithm, based on Adaptive Large Neighborhood Search (ALNS), to obtain solutions to realistically sized instances. We test the ALNS heuristic on a set of instances generated based on data from a real car-sharing organization and show that it outperforms a commercial solver.