Multi-objective ship path planning using non-dominant relationship-based WOA in marine meteorological environment

Marine environmental issues have become increasingly prominent in recent years, and ocean transportation has also received extensive attention. Relevant personnel is concerned about the minimum fuel consumption and the shortest sailing time, which are two contradictory goals. This paper describes th...

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Vydané v:Ocean engineering Ročník 266; s. 112862
Hlavní autori: Han, Qilong, Yang, Xiao, Song, Hongtao, Du, Wei
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 15.12.2022
Predmet:
Improved whale optimization algorithm
Marine environmental
Multi-objective optimization
NP-Hard Problem
Pareto solutions
Improved whale optimization algorithm
Pareto solutions
Multi-objective optimization
Marine environmental
NP-Hard Problem
ISSN:0029-8018, 1873-5258
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Shrnutí:Marine environmental issues have become increasingly prominent in recent years, and ocean transportation has also received extensive attention. Relevant personnel is concerned about the minimum fuel consumption and the shortest sailing time, which are two contradictory goals. This paper describes the ship path problem model as a multi-objective optimization model considering fuel consumption and navigation time. The waves, wind speed, and wind direction in the marine meteorological environment significantly impact the ship’s actual navigation, making it challenging to design a reasonable path. Ship path planning in the marine environment is an NP-Hard Problem. The paper applies an improved whale optimization algorithm to find Pareto solutions in the multi-objective optimization model considering marine meteorology. This paper discusses the performance of the enhanced algorithm. Compared with other advanced algorithms, the algorithm is applied to five benchmark multi-objective optimization functions. The test results show that the scheme can balance the ship’s fuel consumption and sailing time to provide a reasonable candidate path for decision-makers. •This paper describes the ship path problem model as a multi-objective ship path optimization model considering fuel consumption and navigation time.•The improved whale optimization algorithm solves the multi-objective optimization problem.•Non-dominated relations determine the solution to multi-objective problems.•Ship path planning considers the influence of ship parameters and marine meteorological data.
ISSN:0029-8018
1873-5258
DOI:10.1016/j.oceaneng.2022.112862