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Data for Machine Learning in Ship Route Optimisation
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创建时间：
2026-02-24
相关数据集
Dataset for publication: "The benefits of co-evolutionary Genetic Algorithms in voyage optimisation"
The Dataset is separated according to the cases used within the publication: - Case 1: Dalian -> San Francisco - Case 2: Southampton -> Karachi - Case 3: New York -> Oslo Within each dataset 3 files
NIAID Data Ecosystem70
A Ship Weather Routing Framework Based on the Dual-Mode Deep Reinforcement Learning
Ship navigation is strongly influenced by the ocean environment. Adverse sea environment not only increases fuel consumption but can also endanger navigation safety. For the challenge, a ship weather
ETS-Data2026-06-21 更新30
Processed ship-based Navigation Data from the Drake Passage acquired during the Laurence M. Gould expedition LMG0812 (2008)
This data set was acquired with a ship-based Navigation system during Laurence M. Gould expedition LMG0812 conducted in 2008 (Investigator(s): Dr. Dave Leger). These data files are of MGDS:Nav format
DataCite Commons2024-08-16 更新60
James Mason PhD thesis supplementary information
The supplementary information is available through the DOI: 10.17632/4xt8v6mtys.1 on Mendeley Data. The repository contains the following folders: ECMWF wind data, OSCAR currents data, shoreline datas
Mendeley Data40
