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Research on Arctic route planning based on multi-objective optimization model
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Wenjun ZHANG1, 2, Chunqi LIN1, 2, Xue YANG1, 2, Xiangkun MENG1, 2, Xiangyu ZHOU1, 2, Zhongdai WU3
Navigation of China | 2025, 48(4) : 141 - 151
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Navigation of China | 2025, 48(4): 141-151
• Intelligent Shipping •
Research on Arctic route planning based on multi-objective optimization model
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Wenjun ZHANG1, 2, Chunqi LIN1, 2, Xue YANG1, 2, Xiangkun MENG1, 2, Xiangyu ZHOU1, 2, Zhongdai WU3
Affiliations
  • 1.Navigation College, Dalian Maritime University, Dalian 116026, China
  • 2.Dalian Key Laboratory of Safety & Security Technology for Autonomous Shipping, Dalian 116026, China
  • 3.Shanghai Ship and Shipping Research Institute Co., Ltd., Shanghai 200135, China
Published: 2025-12-25 doi: 10.3969/j.issn.1000-4653.2025.04.016
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To address the safety and economic requirements for ships navigating the complex ice environments of Arctic waters, this paper proposes a multi-objective improved Sparrow Search Algorithm (SSA) to optimize both wind resistance and ice resistance. The Risk Index Outcome (RIO), calculated by the Polar Operational Limit Assessment Risk Indexing System (POLARIS), and the safe water depth threshold are adopted as constraints to ensure navigation safety and mitigate the impact of resistance on navigation efficiency along Arctic routes. First, meteorological and ice data for the Arctic route are processed, and a grid environment map is constructed according to ship type. Second, safe navigable areas are identified, and a multi-objective function model is established. Finally, the improved sparrow search algorithm is applied to optimize the route and is compared with other typical path planning algorithms to verify the effectiveness and feasibility of the proposed method. The results indicate that the optimal path generated by the improved sparrow search algorithm, based on the multi-objective model of wind and ice resistance, can significantly reduce ship resistance during navigation-achieving a reduction of up to 10.9%. Moreover, there is no significant difference in path length or running time compared with other algorithms. This study provides an economical and reliable optimization solution for ship navigation in Arctic routes.

Arctic sea route  /  path planning  /  multi-objective optimization method  /  sparrow search algorithm  /  POLARIS
Wenjun ZHANG, Chunqi LIN, Xue YANG, Xiangkun MENG, Xiangyu ZHOU, Zhongdai WU. Research on Arctic route planning based on multi-objective optimization model[J]. Navigation of China, 2025 , 48 (4) : 141 -151 . DOI: 10.3969/j.issn.1000-4653.2025.04.016
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Year 2025 volume 48 Issue 4
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Article Info
doi: 10.3969/j.issn.1000-4653.2025.04.016
  • Receive Date：2024-09-26
  • Online Date：2026-03-17
  • Published：2025-12-25
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  • Received：2024-09-26
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Affiliations
    1.Navigation College, Dalian Maritime University, Dalian 116026, China
    2.Dalian Key Laboratory of Safety & Security Technology for Autonomous Shipping, Dalian 116026, China
    3.Shanghai Ship and Shipping Research Institute Co., Ltd., Shanghai 200135, China
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表12种不同金属材料的力学参数
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Family		 属数
Number of
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Number of
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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
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