集装箱码头泊位-堆场-闸口的周期协同分配

为提高集装箱进出口码头在周期性环境下的作业效率，对集装箱码头泊位-堆场-闸口的周期协同分配问题进行了研究. 首先考虑泊位、堆场、闸口3类资源对船分配过程中的可用量约束、相关性约束和周期性约束，以最小化船舶总在港时间为目标函数，建立集成调度的混合整数规划模型；在此基础上设计自适应遗传算法进行求解，其上层对船舶优先级构成的编码空间展开进化搜索，下层利用启发式将优先级解码为多资源协同分配计划，并将其评价值返回至上层迭代. 数值实验显示，协同考虑泊位、堆场和闸口3类资源的集成调度，相较于传统的两阶段调度，周期计划下的船舶总在港时间缩短约20%. 

Periodic and Collaborative Allocation of Berth-Yard-Gate Resources at Container Terminals

In order to improve the efficiency of import/export container terminals in periodic environment, the periodical and collaborative allocation problem of key resources at container terminals, including berth, yard and gate is investigated. A mixed-integer linear programming model is first established for the integrated scheduling of three types of resources. This model takes into account the capacity restrictions, inter-relationships and periodicity requirements, and sets the objective of minimizing total dwelling time of all vessels. Furthermore, an adaptive genetic algorithm is proposed to find a solution. As for the algorithm, the upper level performs evolutionary search within the space consisting the encoded vessel priority lists, while the lower level decodes each vessel priority to generate a complete resource allocation plan by heuristics, and returns its evaluation for upper level iteration. Numeral experiments shows that with the collaborative allocation of berth-yard-gate resources, the dwelling time of vessels in the execution of periodic plan is shortened by 20% comparing to traditional two-stage method.