Article(id=1311360873663390220, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1311360859318870426, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-4653.2026.04.017, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1764604800000, receivedDateStr=2025-12-02, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790582396187, onlineDateStr=2026-09-28, pubDate=1787587200000, pubDateStr=2026-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790582396187, onlineIssueDateStr=2026-09-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790582396187, creator=13701087609, updateTime=1790582396187, updator=13701087609, issue=Issue{id=1311360859318870426, tenantId=1146029695717560320, journalId=1240618002186551303, year='2026', volume='49', issue='4', pageStart='1', pageEnd='185', issueExtLink='null', onlineDate='null', pubDate='1787587200000', pubDateStr='2026-08-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1790582392768, creator='13701087609', updateTime=1790583829226, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1311366884331716830, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1311360859318870426, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1311366884331716831, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1311360859318870426, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=153, endPage=163, ext={EN=ArticleExt(id=1311360875433386509, articleId=1311360873663390220, tenantId=1146029695717560320, journalId=1240618002186551303, language=EN, title=Optimization of ro-pax vessel scheduling at Zhanjiang Xuwen Port based on bi-objective dynamic programming, columnId=1240655017900823355, journalTitle=Navigation of China, columnName=Marine Traffic Safety, runingTitle=null, highlight=null, articleAbstract=

As the world's largest Roll-on/Roll-off Passenger (Ro-Pax) terminal, Zhanjiang Xuwen Port faces severe vessel scheduling pressure during peak operation periods, placing higher requirements on scheduling efficiency. To address this issue, this paper, based on previous research, proposes an optimization method for the inbound and outbound sequence of Ro-Pax vessels by further considering constraints on dedicated berth for Ro-Ro vessels carrying dangerous goods and the characteristics of variable-speed vessel navigation. First, the inbound and outbound sequencing problem of Ro-Pax vessels is modeled as an Asymmetric Traveling Salesman Problem with Time Windows (ATSPTW). Then, constraints are formulated according to the navigation rules of the harbor basin and channel, and a weight matrix reflecting the minimum scheduling time intervals between vessels was constructed. Subsequently, a bi-objective dynamic programming model is established to minimize total scheduling time and total waiting time. Finally, a bi-objective Pareto optimization algorithm extended from the Held-Karp algorithm is developed to solve the model. The numerical experiment resulst based on actual operational data show that the optimized scheduling plan significantly outperforms the actual scheduling plan in terms of both total scheduling time and total waiting time, with optimization rates reaching 6.50% and 31.09%, respectively. The simulation experiments conducted using the FlexSim 3D simulation software further verify the safety and robustness of the optimized scheduling plan, with no violation of navigation rules observed throughout the entire operation process. The proposed optimization method can significantly improve scheduling efficiency and provide decision support for vessel scheduling at Xuwen Port and other similar ports during peak operation periods.

, authors=Ronghui Li^{1, 2, 3, *}, Longsheng Huang¹, Fumi Wu¹, Jiawen Li^{1, 2, 3}, authorsList=Ronghui Li, Longsheng Huang, Fumi Wu, Jiawen Li, authorCompany=null, correspAuthors=Ronghui Li, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1311360875706016270, articleId=1311360873663390220, tenantId=1146029695717560320, journalId=1240618002186551303, language=CN, title=基于双目标动态规划的湛江徐闻港客滚船调度优化, columnId=1240655018068595518, journalTitle=中国航海, columnName=海上交通安全, runingTitle=null, highlight=null, articleAbstract=

作为全球最大客货滚装码头，湛江徐闻港在高峰运营时段面临严峻的船舶调度压力，对调度效率提出了更高的要求。针对上述问题，在前期研究的基础上，进一步考虑危险品滚装船专用泊位约束和船舶变速航行特性，提出一种客滚船进出港次序优化方法。首先将客滚船进出港次序优化问题建模为带时间窗的非对称旅行商问题（ATSPTW）；其次，根据港池与航道的航行规则设定约束条件，进而构建反映船舶间最小调度时间间隔的权矩阵；接着以总调度时间与总等待时间最小化为目标，建立双目标动态规划模型；最后设计基于Held-Karp算法扩展的双目标Pareto优化算法进行求解。基于实际运营数据的数值试验结果表明，优化调度计划在总调度时间和总等待时间上均明显优于实际调度计划，优化率分别达到6.50%和31.09%。在FlexSim三维仿真软件中进行的仿真试验进一步验证了优化调度计划的安全性和鲁棒性，整个运行过程中未出现任何违反航行规则的情况。该优化方法能够显著提高调度效率，可为徐闻港及其他类似港口在高峰时段的船舶调度提供决策支持。

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