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

Direct link
Testing and Tuning of Optimization Algorithms: On the implementation of Radiotherapy
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Analysis and Probability Theory.
2015 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

When treating cancer patients using radiotherapy, careful planning is essential to ensure that the tumour region is treated while surrounding healthy tissue is not injured in the process. The radiation dose in the tumour along with the dose limitations to healthy tissue can be expressed as a constrained optimization problem. The goal of this project has been to create prototype environments in C++ for both testing and parameter tuning of optimization algorithms intended to solve radiotherapy problems. A library of test problems has been implemented on which the optimization algorithms can be tested. For the sake of simplicity, the problem solving and parameter tuning has only been carried out with the interior point solver IPOPT. The results of a parameter tuning process are displayed in tables where the effect of the tuning can be analysed. By using the implemented parameter tuning process, some settings have been found that are better than the default values when solving the implemented test problems. 

Place, publisher, year, edition, pages
2015. , 69 p.
UPTEC F, ISSN 1401-5757 ; 15027
Keyword [en]
optimization, testing, tuning, radiotherapy
National Category
Other Computer and Information Science
URN: urn:nbn:se:uu:diva-255478OAI: oai:DiVA.org:uu-255478DiVA: diva2:822397
External cooperation
Elekta Instrument AB
Educational program
Master Programme in Engineering Physics
Available from: 2015-06-24 Created: 2015-06-16 Last updated: 2015-06-24Bibliographically approved

Open Access in DiVA

fulltext(1107 kB)110 downloads
File information
File name FULLTEXT01.pdfFile size 1107 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Analysis and Probability Theory
Other Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 110 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: 1411 hits
ReferencesLink to record
Permanent link

Direct link