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Engineering Optimization: Applications, Methods, and Analysis

By
R. Russell Rhinehart
R. Russell Rhinehart
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ISBN:
9781118936337
No. of Pages:
770
Publisher:
ASME Press
Publication date:
2018

Many optimization applications have two or more decision variables. The previous chapters focused on univariate, one-DV, one-dimensional (1-D) applications. Although N-DV applications are more frequently encountered, univariate searches are important, and they reveal key issues in relatively uncomplicated situations. There are new issues and techniques associated with 2-D and higher-dimension applications, and this chapter begins a section related to 2-D, two-decision variable, and N-D applications. Each section of this book on optimization algorithms introduces techniques with 2-D examples and then extends the optimization techniques to N-D applications. In 2-D, we still have the generic optimization concept for maximization.

7.1
Introduction
7.2
Illustration of Surface and Terms
7.3
Some Surface Analysis
7.4
Parametric Notation
7.5
Extension to Higher Dimension
7.6
Takeaway
7.7
Exercises
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