Abstract
The aim of this paper is to present a methodology for automatic tuning of a computational model, in the context of the development of flight simulators. We will present alternative approaches to automatic parameter ranking and screening, developed in a collaboration between Politecnico di Milano and TXT e-solutions and designed to fit as much as possible the needs of the industry. We will show how the adoption of such techniques can make model tuning more efficient. Although our techniques have been validated against a helicopter simulator case study, they do not rely on any domain-specific feature or assumption, so they can, in principle, be applied in different domains.
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Hessel, M., Ortalli, F., Borgatelli, F., Lanzi, P.L. (2015). Automatic Tuning of Computational Models. In: Obaidat, M., Ören, T., Kacprzyk, J., Filipe, J. (eds) Simulation and Modeling Methodologies, Technologies and Applications . Advances in Intelligent Systems and Computing, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-319-26470-7_3
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DOI: https://doi.org/10.1007/978-3-319-26470-7_3
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