影响因子：9.4
DOI码：10.1016/j.eswa.2023.121471
所属单位：哈尔滨工程大学船舶工程学院
发表刊物：Expert Systems with Applications
刊物所在地：美国
项目来源：This work was supported by the National Social Science Foundation of China (21BGL064); Heilongjiang
关键字：Berth-tugboat-quay crane joint scheduling; Random economic factors; Optimization model; SBO; Quantum computing; Chaotic mapping
摘要：With the advent of the post-pandemic era, the global economic situation has tightened, and the economic benefits of container ports have also been affected. This paper attempts to build a novel berth-tugboat-quay crane joint scheduling method for container ports to reduce the economic cost of container ports. Firstly, from the perspective of the economic cost of container ports, considering random economic factors, this paper proposes a new berth-tugboat-quay crane joint dispatch optimization model, namely E-BUQC, by taking the minimum time cost of vessels in port, the cost of additional freight distance for trucks, the cost of tugboat operation, and the minimum operation cost of quay cranes as the objective function. Then, in order to obtain a relatively high-quality solution, based on chaotic mapping and quantum computing, this paper constructs a new chaotic quantum adaptive satin bower bird optimizer algorithm, namely CQASBO, formulates exclusive coding rules for the E-BUQC model, develops a feasible integer algorithm, and proposes a new joint scheduling solution method of berth-tugboat-quay crane, named E-BUQC_CQASBO. Subsequently, based on the simulation examples of two ports in northern China, the new solution method is tested. The simulation test results show that the E-BUQC model obtains an appropriate solution; The CQASBO constructed in this paper has better performance than other traditional comparison algorithms selected in this paper and can provide a better solution when solving the E-BUQC model.
备注：This work was supported by the National Social Science Foundation of China (21BGL064); Heilongjiang Social Science Fund (20JYB042); The Scientific and Technical Program of China National Offshore Oil Corporation under contract No. LSZX-2020-HN-05-04;National Key Research and Development Program of China (2019YFB1504403); and Ministry of Science and Technology, Taiwan (MOST 110-2410-H- 161-001).
合写作者：曹霞,徐瑞喆,孙苏龙
第一作者：杨忠仪
论文类型：期刊论文
通讯作者：洪维强
论文编号：121471
学科门类：工学
文献类型：J
卷号：237
ISSN号：0957-4174
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/S0957417423019735?via%3Dihub