uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Multi-objective optimization and Pareto navigation for voyage planning
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control.
2014 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The shipping industry is very large and ships require a substantial amount of fuel. However, fuel consumption is not the only concern. Time of arrival, safety concerns, distance travelled etc. are also of importance and these objectives might be inherently conflicting.

This thesis aims to demonstrate multi-objective optimization and Pareto navigation for application in voyage planning.

In order to perform this optimization, models of weather, ocean conditions, ship dynamics and propulsion system are needed. Statistical methods for estimation of resistance experienced in calm and rough sea are used. An earlier developed framework is adopted to perform the optimization and Pareto navigation.

The results show that it is a suitable approach in voyage planning. A strength of the interactive Pareto navigation is the overview of the solution space presented to the decision maker and the control of the spread of the objective space. Another benefit is the possibilities of assigning specific values on objectives and setting thresholds in order to narrow down the solution space. The numerical results reinforces the trend of slow steaming to decrease fuel consumption.

Place, publisher, year, edition, pages
2014. , 73 p.
UPTEC F, ISSN 1401-5757 ; 14007
Keyword [en]
Multi-objective optimization voyage planning Pareto navigation
National Category
Information Systems Control Engineering
URN: urn:nbn:se:uu:diva-220338OAI: oai:DiVA.org:uu-220338DiVA: diva2:704656
External cooperation
Educational program
Master Programme in Engineering Physics
Available from: 2014-04-07 Created: 2014-03-12 Last updated: 2014-04-07Bibliographically approved

Open Access in DiVA

fulltext(4701 kB)381 downloads
File information
File name FULLTEXT03.pdfFile size 4701 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Division of Systems and Control
Information SystemsControl Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 381 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 2103 hits
ReferencesLink to record
Permanent link

Direct link