考虑潮汐影响的连续泊位分配策略  

Continuous berth allocation strategy under influence of tide

作　　者：徐亚伟 王志明[1] 李芸[1] XU Yawei;WANG Zhiming;LI Yun(Merchant Marine College,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]上海海事大学商船学院,上海201306

出　　处：《上海海事大学学报》2021年第4期39-46,共8页Journal of Shanghai Maritime University

基　　金：国家自然科学基金(51909155);国家社会科学基金(20BGL254)。

摘　　要：针对潮汐影响下船舶进出港调度中的连续泊位分配策略优化需求,考虑潮汐影响下的船舶进出港时段、船舶靠离泊安全流速、泊位类型与船型相匹配等多因素约束,根据先来先服务原则,构建混合整数规划模型,并采用改进粒子群优化(particle swarm optimization,PSO)算法进行求解。算例结果给出每艘船的靠泊位置和进出港顺序安排,并通过与标准PSO算法求解的调度方案进行对比,验证改进PSO算法的有效性。研究成果可为实际码头泊位分配决策提供参考。In view of the demand of the continuous berth allocation strategy optimization in the scheduling of ships entering and leaving a port under the influence of tide,considering the constraints such as the time window of ships entering and leaving a port under the influence of tide,the safe flow rate of ship berthing and unberthing,and the matching of the berth type and the ship type,according to the first-come first-served principle,a mixed integer programming model is constructed,and an improved particle swarm optimization(PSO)algorithm is used to solve the model.The results of the example show the berthing positions and the sequence of entering and leaving a port of ships,and the results are compared with the scheduling scheme solved by the standard PSO algorithm to verify the effectiveness of the improved PSO algorithm.The research results can provide reference for the actual berth allocation decision-making.

关 键 词：连续泊位分配 粒子群优化(PSO)算法 潮汐影响 先来先服务原则 

分 类 号：U691.3[交通运输工程—港口、海岸及近海工程]