A master thesis from Aalborg University
Distrbuted parameter sweep for UPPAAL models
Author(s)
Term
2. term
Education
Publication year
2011
Submitted on
2011-06-01
Pages
106 pages
Abstract
The use of a tool when conducting a para- meter sweep is essential, since the amount of possible combination is often very large. This thesis presents U PPAAL PARMOS, a Parameter Sweep Application that dis- tributes a parameter sweep of verifications of a U PPAAL model to multiple resources, while employing an optimization scheme to prioritize individual model configura- tions, thus allowing for faster access to de- sired results. The thesis includes both a fully described design of U PPAAL PAR - MOS as well as an implementation and test. Additional, a study of heuristic op- timization algorithms has been conducted in order to utilize three of these, specifi- cally Hill-Climbing, Simulated Annealing, and Pareto Archived Evolution Strategy, in U PPAAL PARMOS. Based on experi- ments on our implementation we conclude that there are grounds for utilizing U PPAAL PARMOS to acquire faster access to desired results.
Documents
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