Multi-objective optimisation of ship routes

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/218341
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Type: Examensarbete för masterexamen
Master Thesis
Title: Multi-objective optimisation of ship routes
Authors: Andersson, Angelica
Abstract: In this master thesis two different approaches of solving a three-criteria multi-objective ship route optimisation are developed and compared. The first is a grid search approach, while the second one is a modification of the distance based Pareto genetic algorithm, which has previously been proven useful in other multi-objective optimisation problems. It is found that the modified distance based Pareto genetic algorithm can give an equivalently good result using approximately 1% of the computing time, but also that a penalty needs to be introduced in the second method in order for it to be used in an actual product. Keywords: Ship route optimisation, Multi-objective optimisation, Weather routing, Voyage planning, Genetic algorithms
Keywords: Fysik;Energi;Hållbar utveckling;Materialvetenskap;Transport;Physical Sciences;Energy;Sustainable Development;Materials Science;Transport
Issue Date: 2015
Publisher: Chalmers tekniska högskola / Institutionen för teknisk fysik
Chalmers University of Technology / Department of Applied Physics
URI: https://hdl.handle.net/20.500.12380/218341
Collection:Examensarbeten för masterexamen // Master Theses



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