Collaborative Optimization of Berth Allocation and Yard Storage in Container Terminals

作     者：Wenwen Guo Mingjun Ji Huiling Zhu 

作者机构：Dalian Maritime University Transportation Engineering CollegeDalian 116026LiaoningChina 

出 版 物：《Journal of Traffic and Transportation Engineering》 (交通与运输工程（英文版）)

年 卷 期：2019年第7卷第2期

页      面：56-70页

学科分类：08[工学] 0823[工学-交通运输工程] 

主　　题：Export containers berth allocation yard storage collaborative optimization hybrid tabu genetic algorithm 

摘      要：Considering the interaction between the berth and the yard,this paper studies the collaborative optimization problem of berth allocation and yard storage from the point of the ships over a certain planning *** collaborative optimization problem is formulated as the integer programming,which aims at minimizing the total truck travel *** decision variables are the berthing positions for visiting ships and the storage positions for export ***,this paper demonstrates the complexity of the problem in *** the hybrid tabu genetic algorithm is designed to solve the problem to obtain the optimal berth allocation position and export container storage *** this algorithm,the rule is applied to generate the initial feasible solutions,and the crossover and mutation operation are simultaneously applied to optimize the initial ***,this paper discusses two different scenes:the same berth scene and the same ship *** influence of two different scenes on truck travel distance is analyzed by different numerical *** examples’results show that the collaborative optimization of berth allocation and yard storage can effectively shorten the truck travel distance and improve the efficiency of terminal operation,which provides the decision support for terminal operators.