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Heuristic Methods for Weather Routing

dc.contributor.authorBu, Pengcheng
dc.contributor.copyright-releaseNoen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.departmentDepartment of Mathematics & Statistics - Math Divisionen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinern/aen_US
dc.contributor.manuscriptsNoen_US
dc.contributor.thesis-readerDavid Ironen_US
dc.contributor.thesis-readerTheodore Kolokolnikoven_US
dc.contributor.thesis-supervisorRobert Milsonen_US
dc.date.accessioned2024-08-26T15:37:17Z
dc.date.available2024-08-26T15:37:17Z
dc.date.defence2024-08-16
dc.date.issued2024-08-22
dc.description.abstractWeather routing involves optimizing routes for vessels to reduce travel time and fuel consumption by utilizing meteorological data. It is an interdisciplinary problem that requires insights ranging from naval engineering to mathematics. This thesis proposes three optimization algorithm for weather routing: Hybrid Search, Super A∗ Search, and Bézier Evaluation with Evolutionary Strategy (BEES), paired with a discrete Newton-Jacobi smoothing method. Each method leverages different mathematical principles: differential equations, graph theory, and evolutionary algorithms. We will evaluate their performance in various meteorological conditions and analyze their output across different sailing speeds, ocean regions, and times of the year on a common benchmarking platform.en_US
dc.identifier.urihttp://hdl.handle.net/10222/84469
dc.language.isoenen_US
dc.subjectOptimizationen_US
dc.subjectWeather Routingen_US
dc.subjectHeuristicsen_US
dc.titleHeuristic Methods for Weather Routingen_US

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