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Förslaget inkom 2010-11-16
Data structure proposal for parameter tuning I/O based on XML
OBS! ANSÖKNINGSTIDEN FÖR DETTA EXJOBB HAR LÖPT UT.
Intro:
Parameter tuning frameworks are for optimizer software what constructors are for formula-1 cars: they tune the parameters (chassis, tires, etc.) of the optimizer (the car) before execution (the start), in order to get the best performance out of it throughout the run (race) on a problem instance (a race track). These frameworks can be used for all kinds of optimizers, such as, Genetic Algorithms, Hill Climbers or Simulated Annealing. Two established tuning frameworks are ParamILS and the Sequential Parameter Optimization Toolbox (SPOT).
Objective:
The aim of this thesis is a data standard proposal for parameter tuning frameworks. Such a standard would allow the user to create single configuration files as input to all frameworks. Tools for analysis could be developed on top of that, taking the proposed tuner output files as input. Structure definitions have to be based on XML-schema, the standard for document encoding.
A complete problem formulation is attached.
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