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Erschienen in:
2018 | OriginalPaper | Buchkapitel
7. Discrete Variables
verfasst von : Mark French
Erschienen in: Fundamentals of Optimization
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Abstract
Most optimization methods assume that the design variables are continuous and can take any value that satisfies the constraints. It is generally true of the design variables used to describe many problems, but there is a class of problems in which the design variables can only take discrete values. An example might be the number of engines to power a ship or the number of trucks needed to support a product delivery organization. Since the conventional ideas of slope and curvature don’t generally work with discrete variables, there are methods specifically for problems involving discrete variables. To date, discrete methods are generally capable of finding approximate solutions.