考虑碳排放及翻箱量的集装箱堆存优化  

Optimization of Container Storage Considering Carbon Emissions and Container Reshuffing

作　　者：陈丽芬[1] 林嘉俊 CHEN Lifen;LIN Jiajun(Navigation College of Jimei University,Xiamen 361021,China)

机构地区：[1]集美大学航海学院,福建厦门361021

出　　处：《集美大学学报(自然科学版)》2025年第1期40-50,共11页Journal of Jimei University:Natural Science

基　　金：福建省教育厅中青年教师科技项目“不确定条件下干散货运输市场价格波动机理及预测研究”(JAT220170);厦门市自然科学基金面上项目“完全竞争环境下国际大宗散货海运价格波动风险研究”(3502Z202373039)。

摘　　要：针对港口集装箱作业过程中产生的碳排放和翻箱现象,考虑集装箱进出堆场顺序及集装箱质量等因素,以集装箱在堆场存取过程中的碳排放和翻箱量最低为目标函数,构建混合整数线性规划模型。分别采用启发式算法和超启发式算法对集装箱堆存方案进行优化,比较两算法在堆存优化问题中的适用性。结果表明:超启发式算法在求解结果和稳定性方面优于启发式算法,其在满足堆场堆存需求的同时,最大限度地减少了堆存环节中的碳排放。Factors such as the orders of entry to and exit from the yard and the weights of containers are considered,and the objective is to minimize the carbon emissions and container resuffling volumes during container storage and redelivery at the yard.Heuristic algorithms and hyper-heuristic algorithms are used to optimize the container stacking scheme,and their respective applicabilities in the stacking optimization problem are compared.The results show that the hyper-heuristic algorithm outperforms the heuristic algorithm in terms of solution quality and stability.It not only meets the stacking requirements of the yard but also minimizes carbon emissions during the stacking process to the greatest extent.

关 键 词：码头堆场 碳排放 混合整数线性规划 超启发式算法 

分 类 号：U693[交通运输工程—港口、海岸及近海工程]