State-of-the-art optimization algorithms in weather routing — ship decision support systems: challenge, taxonomy, and review
Artikel i vetenskaplig tidskrift, 2025

Weather routing has been extensively used as a decision support system in merchant ship operations and traffic management. A critical component of such a system is the optimisation method. Over recent years, substantial research efforts have been devoted to developing voyage optimisation algorithms, either to support decisionmaking of weather routing in merchant shipping or to assist autonomous ships in academic research. The requirements for optimisation methods for merchant shipping differ significantly from those in academic autonomous ship applications. However, many optimisation-related terminologies and algorithms are often used arbitrarily across these two fields, easily leading to confusion. In addition, the emergence of machine learning after 2020 has shown a significant impact on the development of those optimisation algorithms. Still, we see a lack of a systematic review and in-depth summary of recent developments in the optimisation methods focused on weather routing. This paper presents an overview of recent scientific publications to show state-of-the-art research and development status and trends. Focusing on the optimisation methods used in weather routing, we clarify optimisation terminologies. In addition, we propose a general framework to develop voyage optimisation methods to summarise and categorise various developed algorithms. Then, we review scientific papers published in recent years for weather routing developments and applications. Finally, future research and outlooks are discussed for further development of weather routing algorithms.

Decision-making

Voyage optimization

Ship voyage planning

Maritime transport

Energy efficiency

Weather routing

Författare

[Person d2e6fc98-4574-4bd2-9e7e-0f043af036e3 not found]

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

[Person c6608c01-7f13-4def-a313-c6b0440b7d96 not found]

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

[Person 9ca703dc-c6fe-40f3-825c-f6404501a663 not found]

Dalian Maritime University

[Person 0325c1d4-f841-449d-a605-af1147855439 not found]

Dalian Maritime University

[Person 00f00de9-18e1-49d1-b438-a6700ff58ddb not found]

Chalmers, Mekanik och maritima vetenskaper, Strömningslära

[Person 66310e7e-e1de-4ea0-85d9-6caaab55cace not found]

Aalto-Yliopisto

[Person b8581c6e-6c30-4587-8b23-88fb0643e9a5 not found]

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

Ocean Engineering

0029-8018 (ISSN)

Vol. 331 121198

PIANO - Physics Informed Machine Learning Architecture for Optimal Auxiliary Wind Propulsion

Trafikverket (2023/98101), 2024-10-01 -- 2027-09-30.

AUTOBarge - European training and research network on Autonomous Barges for Smart Inland Shipping

Europeiska kommissionen (EU) (EC/H2020/955768), 2021-10-01 -- 2025-09-30.

Styrkeområden

Transport

Energi

Ämneskategorier (SSIF 2025)

Marinteknik

DOI

10.1016/j.oceaneng.2025.121198

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Senast uppdaterat

2025-05-06