Abstract: Aiming at the simultaneous loading and unloading activities of many large and small ships, the blind implementation of operation surface scheduling will cause complex management difficulties, which will lead to the increase of ship handling time. Based on this problem and the influence of ship distance on integrated truck scheduling mode, the concepts of the decentralized truck group and the integrated truck group were introduced, which was the mixed loading and unloading mode for operation line and surface. The mixed integer programming model of QC and IT joint scheduling was established. According to the constraint conditions and features involved in the process of QC and IT scheduling, the adaptive genetic algorithm (AGA) method with matrix coding mode was used to solve the above problem. The results show that: when the distance between ships reaches a certain degree, the decentralized truck group outperforms the integrated truck group in the operation time and travel distance.

Key words: traffic and transportation engineering, integrated truck group, decentralized truck group, mixed loading and unloading, integer programming, adaptive genetic algorithm

摘要： 针对在有多艘大型船舶及多艘小型船舶同时进行装卸活动时，一味实行作业面调度，会引起复杂地管理难度，从而导致船舶装卸时间增加。基于该 问题及船舶间距离对集卡调度模式的影响，引进分散集卡群与集成集卡群概念，即面向作业线与作业面的混合装卸模式。建立了岸桥和集卡联合调度混合 整数规划模型。根据岸桥与集卡调度过程中涉及到的约束条件及特点，设计了矩阵编码方式自适应遗传算法(AGA)对其求解。结果表明：当船舶间达到一 定距离时，分散集卡群在作业时间和行驶距离优于集成集卡群。

关键词: 交通运输工程, 集成集卡群, 分散集卡群, 混合装卸, 整数规划, 自适应遗传算法