In English

Multi-objective optimisation of ship routes

Angelica Andersson
Göteborg : Chalmers tekniska högskola, 2015. 27 s.
[Examensarbete på avancerad nivå]

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

Publikationen registrerades 2015-06-15. Den ändrades senast 2015-12-10

CPL ID: 218341

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