Multi-objective ship path planning using non-dominant relationship-based WOA in marine meteorological environment. (15th December 2022)
- Record Type:
- Journal Article
- Title:
- Multi-objective ship path planning using non-dominant relationship-based WOA in marine meteorological environment. (15th December 2022)
- Main Title:
- Multi-objective ship path planning using non-dominant relationship-based WOA in marine meteorological environment
- Authors:
- Han, Qilong
Yang, Xiao
Song, Hongtao
Du, Wei - Abstract:
- Abstract: 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. Highlights: 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-objectiveAbstract: 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. Highlights: 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. … (more)
- Is Part Of:
- Ocean engineering. Volume 266(2022) Part 3
- Journal:
- Ocean engineering
- Issue:
- Volume 266(2022) Part 3
- Issue Display:
- Volume 266, Issue 3, Part 3 (2022)
- Year:
- 2022
- Volume:
- 266
- Issue:
- 3
- Part:
- 3
- Issue Sort Value:
- 2022-0266-0003-0003
- Page Start:
- Page End:
- Publication Date:
- 2022-12-15
- Subjects:
- Marine environmental -- Multi-objective optimization -- NP-Hard Problem -- Improved whale optimization algorithm -- Pareto solutions
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2022.112862 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24755.xml