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String Variables for Constraint-Based Local Search
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Computing Science.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

String variables occur as a natural part of many computationally challenging problems. Usually, such problems are solved using problem-specific algorithms implemented from first principles, which can be a time-consuming and error-prone task. A constraint solver is a framework that can be used to solve computationally challenging problems by first declaratively defining the problem and then solving it using specialised off-the-shelf algorithms, which can cut down development time significantly and result in faster solution times and higher solution quality. There are many constraint solving technologies, one of which is constraint-based local search (CBLS). However, very few constraint solvers have native support for solving problems with string variables. The goal of this thesis is to add string variables as a native type to the CBLS solver OscaR/CBLS. The implementation was experimentally evaluated on the Closest String Problem and the Word Equation System problem. The evaluation shows that string variables for CBLS can be a viable option for solving string problems. However, further work is required to obtain even more competitive performance.

Place, publisher, year, edition, pages
2016. , 45 p.
IT, 16057
National Category
Engineering and Technology
URN: urn:nbn:se:uu:diva-301501OAI: oai:DiVA.org:uu-301501DiVA: diva2:954752
Educational program
Master Programme in Computer Science
Available from: 2016-08-23 Created: 2016-08-23 Last updated: 2016-10-14Bibliographically approved

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