Abstract
In this chapter, we will describe some case studies, which use simulation-based parametric or control optimization techniques to solve large-scale stochastic optimization problems. We will provide a general description of the problem and of the approach used in the solution process, rather than describing numerical details. Some of the problems discussed here can be solved both by control optimization and by parametric optimization methods.
The greater danger for most of us is not that our aim is too high and we miss it, but that it is too low and we reach it.
— Michelangelo (1475–1564)
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© 2003 Springer Science+Business Media New York
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Gosavi, A. (2003). Case Studies. In: Simulation-Based Optimization. Operations Research/Computer Science Interfaces Series, vol 25. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3766-0_14
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DOI: https://doi.org/10.1007/978-1-4757-3766-0_14
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5354-4
Online ISBN: 978-1-4757-3766-0
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