收藏切换
A container port berth allocation optimization method based on the reverse learning BWO algorithm
收藏切换
PDF
Mingwei LI1, Qingyong LI2, Zhongyi YANG3, Xiangyang LI1
Navigation of China | 2025, 48(4) : 84 - 92
Less
收藏切换
Navigation of China | 2025, 48(4): 84-92
Port and Waterway Engineering
A container port berth allocation optimization method based on the reverse learning BWO algorithm
Full
Mingwei LI1, Qingyong LI2, Zhongyi YANG3, Xiangyang LI1
Affiliations
  • 1.College of Ship Building Engineering, Harbin Engineering University, Harbin 150001, China
  • 2.Offshore Oil Engineering Co., Ltd., Tianjin, 300451
  • 3.College of Management Science and Engineering, Harbin Engineering University, Harbin 150001
Published: 2025-12-25 doi: 10.3969/j.issn.1000-4653.2025.04.010
Outline
收藏切换

With the rapid development of global shipping, port cargo volumes are increasing significantly, leading to growing issues of vessel congestion and delays, which in turn severely constrain port operations. In response to the challenges posed by surging cargo volumes, ship congestion, and aggravated pollution, this paper proposes a Time-Berth & Pollution (TB&P) model. The model takes the difference between the actual and expected time in port as the objective function, aiming to minimize operating costs and pollution emissions, subject to constraints related to time, space, and machinery/equipment. To solve the TB&P model, an improved version of the basic Beluga Whale Optimization (BWO) algorithm is developed, termed the Opposition Learning Beluga Whale Optimization (OBWO) algorithm. The feasibility and superiority of the proposed model and improved algorithm are verified through case data from a port. Results demonstrate that, compared with traditional models, the established model significantly reduces the extent of ship delays and mitigates water pollution in the port area. Furthermore, the proposed OBWO algorithm exhibits enhanced stability and accuracy relative to other selected algorithms.

port dispatching  /  multi-objective optimization  /  BWO algorithm  /  reverse learning
Mingwei LI, Qingyong LI, Zhongyi YANG, Xiangyang LI. A container port berth allocation optimization method based on the reverse learning BWO algorithm[J]. Navigation of China, 2025 , 48 (4) : 84 -92 . DOI: 10.3969/j.issn.1000-4653.2025.04.010
Year 2025 volume 48 Issue 4
PDF
93
21
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.1000-4653.2025.04.010
  • Receive Date:2024-10-22
  • Online Date:2026-03-17
  • Published:2025-12-25
Article Data
Affiliations
History
  • Received:2024-10-22
Funding
Affiliations
    1.College of Ship Building Engineering, Harbin Engineering University, Harbin 150001, China
    2.Offshore Oil Engineering Co., Ltd., Tianjin, 300451
    3.College of Management Science and Engineering, Harbin Engineering University, Harbin 150001
References
Share
https://castjournals.cast.org.cn/joweb/zghh/EN/10.3969/j.issn.1000-4653.2025.04.010
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT