Abstract
Almost all useful optimization problems have more than one design variable, so it’s important to understand methods that work for any number of variables. Conveniently, some of these methods are just extensions of single-variable methods. The methods in this chapter are not hard to implement and some equivalent functions are available in MATLAB. We will focus on two variable problems since they can be represented using surface or contour plots. However, methods that work for two design variables generally work for any larger number of design variables as well.
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French, M. (2018). Problems with More than One Variable. In: Fundamentals of Optimization. Springer, Cham. https://doi.org/10.1007/978-3-319-76192-3_4
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DOI: https://doi.org/10.1007/978-3-319-76192-3_4
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