Multi-objective optimisation of ship routes

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dc.contributor.authorAndersson, Angelica
dc.contributor.departmentChalmers tekniska högskola / Institutionen för teknisk fysiksv
dc.contributor.departmentChalmers University of Technology / Department of Applied Physicsen
dc.date.accessioned2019-07-03T13:39:39Z
dc.date.available2019-07-03T13:39:39Z
dc.date.issued2015
dc.description.abstractIn 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
dc.identifier.urihttps://hdl.handle.net/20.500.12380/218341
dc.language.isoeng
dc.setspec.uppsokPhysicsChemistryMaths
dc.subjectFysik
dc.subjectEnergi
dc.subjectHållbar utveckling
dc.subjectMaterialvetenskap
dc.subjectTransport
dc.subjectPhysical Sciences
dc.subjectEnergy
dc.subjectSustainable Development
dc.subjectMaterials Science
dc.subjectTransport
dc.titleMulti-objective optimisation of ship routes
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeComplex adaptive systems (MPCAS), MSc
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