|本期目录/Table of Contents|

[1]邢大宁,窦军伟,章嘉文.考虑潮汐和泊位偏好的泊位岸桥联合调度优化[J].集美大学学报(自然科学版),2026,31(5):566-580.
　XING Daning,DOU Junwei,ZHANG Jiawen.Joint Scheduling Optimization of Berth and Quay Cranes Considering Tides and Berth Preferences[J].Journal of Jimei University,2026,31(5):566-580.
点击复制

考虑潮汐和泊位偏好的泊位岸桥联合调度优化(PDF)
分享到：

《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第31卷
期数:
2026年第5期
页码:
566-580
栏目:
船海与交通运输工程
出版日期:
2026-09-28

文章信息/Info

Title:
Joint Scheduling Optimization of Berth and Quay Cranes Considering Tides and Berth Preferences
作者:
邢大宁1; 2; 窦军伟1; 章嘉文1
（1.集美大学航海学院，福建 厦门 361021；2.福建航运研究院，福建 厦门 361021）
Author(s):
XING Daning1; 2; DOU Junwei 1; ZHANG Jiawen 1
(1.Navigation College of Jimei University,Xiamen 361021,China;2.Fujian Institute of Shipping,Xiamen 361021,China)
关键词:
集装箱码头; 潮汐影响; 泊位偏好; 泊位岸桥联合调度; 蜣螂-遗传混合算法
Keywords:
container terminal; tidal influence; berth preferences; joint scheduling of berths and quay cranes; dung beetle optimizer-genetic hybrid
分类号:
-
DOI:
-
文献标志码:
A
摘要:
针对大船进出港口受潮汐影响大及码头泊位岸桥资源有限的问题，综合考虑潮汐时间窗、岸桥动态调度、岸桥不可跨越、泊位偏好与岸桥干扰等因素，以船舶等待服务成本、延迟离港处罚成本、泊位偏离惩罚成本和岸桥作业成本之和最小为目标构建混合整数规划模型，并设计了一种蜣螂优化算法和遗传算法相结合的蜣螂遗传混合算法用来求解船舶靠泊与岸桥作业方案。分别用CPLEX与蜣螂-遗传混合算法求解不同规模的算例，结果表明本算法可以在平均13 min内求出与CPLEX平均偏差为3.83％的近似解；对比于传统蜣螂算法和遗传算法的求解结果，本算法求解出的调度方案更优，目标值分别优化了12.84%和15.52%。通过对重要参数进行敏感性分析，发现不同的潮汐高水位开始时刻和泊位偏离系数会影响船舶在港总成本。
Abstract:
Regarding the problem of large ships entering and leaving the port under the influence of tides and the limited resources of berths and bridges at the terminal,the tidal time window,dynamic scheduling of bridges,non-spanning of bridges,and the interference between berth preferences and bridges,etc.,were comprehensively considered.A mixed-integer planning model to minimize the sum of the cost of ship waiting service,delayed departure penalty cost,berth deviation penalty cost,and the cost of bridges and berths was constructed,and a hybrid algorithm combining the dung beetle optimizer algorithm was designed.Solving the problem was aimed at getting the ship berthing and bridge operation scheme.CPLEX and the dung beetle optimizer-genetic hybrid algorithm were used to solve different scales of cases,and the results showed that the dung beetle optimizer-genetic hybrid algorithm can find an approximate solution with an average deviation of 3.83% from CPLEX in an average of 13 min;comparing the results of the dung beetle algorithm and the genetic algorithm,dung beetle optimizer-genetic hybrid algorithm results in a better scheduling scheme,and the objective values were optimized by 12.84% and 15.52%.A sensitivity analysis of the important parameters revealed that different tidal high water start times and berth deviation coefficients affected the total cost of a ship’s stay in port.

参考文献/References:

相似文献/References:

[1]左世萍,初良勇,胡美丽.大数据驱动下自动化码头资源冲突辨识[J].集美大学学报(自然科学版),2020,25(2):120.
　ZUO Shiping,CHU Liangyong,HU Meili.Research on Resource Conflict Identification of Automated Container Terminal Driven by Big Data[J].Journal of Jimei University,2020,25(5):120.
[2]詹世龙,曾艳,柯冉绚.基于PCA-SVR的集装箱码头设备配置[J].集美大学学报(自然科学版),2026,31(3):308.
　ZHAN Shilong,ZENG Yan,KE Ranxuan.Container Terminal Equipment Configuration Based on PCA-SVR[J].Journal of Jimei University,2026,31(5):308.

备注/Memo

备注/Memo:
更新日期/Last Update: 2026-11-01