影响因子：7.8
DOI码：10.1016/j.asoc.2023.111197
所属单位：哈尔滨工程大学船舶工程学院
发表刊物：Applied Soft Computing
刊物所在地：荷兰
项目来源：The work is supported by the following project grants, National Natural Science Foundation of China
关键字：Berth-quay crane-truck joint scheduling; Tidal factor; Uncertainty factor; Seagull optimization algorithm; External penalty function method; Quantum computing; Chaotic mapping
摘要：The post-epidemic era has led to the accumulation of cargo, which has brought greater pressure to container ports. Since traditional methods cannot simultaneously consider the effect of tidal, uncertain, and environmental factors on the allocation plan. To relieve this pressure, firstly, considering tidal factors, formulating time window rules, thinking out uncertain factors, and determining constraints from three perspectives of vessel berthing process, quay crane and container truck operation, a new berth-quay crane-truck joint scheduling model is constructed by minimizing three aspects of vessels turnaround time, the carbon emissions of quay cranes and trucks, namely TEU-BQCT model. Then, aiming at obtaining a relatively high-quality solution, combining chaotic mapping and quantum entanglement, a new chaotic quantum adaptive seagull optimization algorithm is proposed, namely CQASOA, exclusive coding rules suitable for the TEU-BQCT model is formulated, a feasible integer algorithm is developed, the external penalty function is constructed to limit constraints, and a novel joint scheduling solution method of berth-quay crane-truck is proposed, namely TEU-BQCT_CQASOA. Subsequently, two ports of different scales in South China are used to test the constructed solution method feasibility. The simulation results indicate that the constructed TEU-BQCT model can obtain a more suitable scheduling scheme. The proposed CQASOA has better performance than other comparison algorithms selected in this paper, which can obtain a better solution when solving the TEU-BQCT model.
备注：The work is supported by the following project grants, National Natural Science Foundation of China (No.52371315); Heilongjiang Excellent Youth Fund Project (YQ2021E015); Science and Technology special fund of Hainan Province (ZDYF2023GXJS017); and National Council of Science and Technology, Taiwan (MOST 111–2410-H-161–001).
合写作者：徐瑞喆,杨忠仪,Xiao-Gang An,Yi-Hsuan Yeh
第一作者：李明伟
论文类型：期刊论文
通讯作者：洪维强
论文编号：111197
学科门类：工学
文献类型：J
卷号：152
ISSN号：1568-4946
是否译文：否
发表时间：2024-01-01
收录刊物：SCI
发布期刊链接：https://www.sciencedirect.com/science/article/pii/S1568494623012152?via%3Dihub