大连海事大学学报 >
2016 , Vol. 42 >Issue 2: 107 - 116
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2016.02.018
不确定环境下进口箱提箱作业动态优化模型与算法
收稿日期: 2015-12-28
修回日期: 2016-01-27
网络出版日期: 2023-05-26
基金资助
国家自然科学基金资助项目（71172108;71302044;71572023）；交通运输部应用基础项目（2014329225110）；教育部高等学校博士学科点专项科研基金项目（20122125110009；20132125120009）；中央高校基本科研业务费专项资金资助（3132013320；3132013076）.
Models and algorithms for dynamic retrieving operation optimization of import containers under uncertainty environment
Received date: 2015-12-28
Revised date: 2016-01-27
Online published: 2023-05-26
邵乾虔 , 杨惠云 , 靳志宏 . 不确定环境下进口箱提箱作业动态优化模型与算法[J]. 大连海事大学学报, 2016 , 42(2) : 107 -116 . DOI: 10.16411/j.cnki.issn1006-7736.2016.02.018
Based on the characteristics of dynamic decision making for retrieving operations，a mathematical model considering batch arrival was developed to optimize the retrieving operations of import containers. Based on statistical distributions, the randomness of external trucks arriving was simulated. The concept and calculation method of dynamic probability for prior retrieving were proposed to design the double algorithm including Branch & Bound and heuristics, and to solve the model. A series experiments show the superiority and robustness of the proposed dynamic optimization algorithms for retrieving optimization of import containers under uncertainty environment as compared with existing algorithms such as IH, OH, RDH, MaxMin, etc.
Key words： container yard; appointment mode; relocation; dynamic optimization
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