Abstract
The first aim of this chapter is to present how multi-objective optimisation (MOO) (see Chap. 3) and global approximation (GA) (see Chap. 4) can be employed in order to speed up and improve the design of complex mechanical system. The second aim of this chapter is to propose a multi-objective interactive design methodology (see Sect. 3.6) based on Pareto surface sensitivity analysis. This methodology has been implemented by a software where the designer interacts with the multi-objective programming software to choose the preferred final solution especially suited for applications where computer simulations can reliably predict the properties of a system.
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Keywords
- Design Variable
- Radial Basis Function Neural Network
- Global Approximation
- Initial Profile
- Interactive Optimisation
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© 2006 Springer
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Mastinu, G., Gobbi, M., Miano, C. (2006). Interactive Optimisation of a Flywheel. In: Optimal Design of Complex Mechanical Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-34355-4_13
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DOI: https://doi.org/10.1007/978-3-540-34355-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34354-7
Online ISBN: 978-3-540-34355-4
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