Abstract
The active robust optimization methodology covers a wide range of problem formulations and can support a variety of design optimization activities. In this chapter, two applications from different fields are used to demonstrate how AROPs are formulated and solved for real-world applications. In order to focus on the methodological aspects of the framework instead of the technical issues for each application, the examples are simplified and modelled from first principles.
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Notes
- 1.
In order to be consistent with the notation used throughout this thesis, lower-case j is used instead of the more common upper-case J to denote moment of inertia. As explained in Sect. 2.3.1, lower-case symbols denote deterministic values, while upper-case symbols denote random values. The same rules apply to other notations in this chapter.
- 2.
V, I and L are the universal notations to describe voltage, current and inductance. For clarity, these are used here to describe deterministic values, in contrast to the usual convention of this thesis where capital letters are used to describe random variates.
- 3.
Recall that \(\psi \) denotes a deterministic objective value.
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Salomon, S. (2019). Case Studies. In: Active Robust Optimization: Optimizing for Robustness of Changeable Products. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-030-15050-1_5
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