Abstract
The sequential parameter optimization toolbox (SPOT) is one possible implementation of the SPO framework introduced in Chap. 2. It has been successfully applied to numerous heuristics for practical and theoretical optimization problems. We describe the mechanics and interfaces employed by SPOT to enable users to plug in their own algorithms. Furthermore, two case studies are presented to demonstrate how SPOT can be applied in practice, followed by a discussion of alternative metamodels to be plugged into it.We conclude with some general guidelines.
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Acknowledgements
This work has been supported by the Bundesministerium für Forschung und Bildung (BMBF) under the grant FIWA (AIF FKZ 17N2309, "Ingenieurnachwuchs") and by the Cologne University of Applied Sciences under the grant COSA.
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Bartz-Beielstein, T., Lasarczyk, C., Preuss, M. (2010). The Sequential Parameter Optimization Toolbox. In: Bartz-Beielstein, T., Chiarandini, M., Paquete, L., Preuss, M. (eds) Experimental Methods for the Analysis of Optimization Algorithms. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02538-9_14
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DOI: https://doi.org/10.1007/978-3-642-02538-9_14
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