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Article Dans Une Revue Journal of Marine Science and Technology Année : 2013

Sail-assisted motor vessels weather routing using a fuzzy logic model

Résumé

In this study sail-assisted motor vessels weather routing is investigated to establish the most economical route by applying available information of the ship's behavior regarding the encountered sea-conditions. To derive the vessel's fuel use on a route, a fuzzy logic model is constructed through an automated identification process. Only data collected from actual integrated bridge measurements systems is used. Fuzzy modeling is a framework providing a flexible and transparent mathematical structure to describe the physical relationships in a vessel's behavior. This consumption model is integrated into a determinist weather-routing optimization workflowbased on a systematicmeshing schemeof the sailing area. Pareto-optimization with a multi-objective genetic algorithm is used to maximize fuel economy in a limited or optimum time. The benefits of the developed decision helping tool in sail-assisted motor vessel routing are highlighted on a westbound north Transatlantic journey.
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Dates et versions

hal-00926416 , version 1 (09-01-2014)

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Stéphane Marie, Eric Courteille. Sail-assisted motor vessels weather routing using a fuzzy logic model. Journal of Marine Science and Technology, 2013, pp.1-15. ⟨10.1007/s00773-013-0246-x⟩. ⟨hal-00926416⟩
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