This part introduces carefully chosen advanced topics that are appropriate for graduate students or undergraduate students who might pursue study in the design optimization field. These topics will generally be of great interest to industry practitioners as well. While these topics are advanced, a mathematically advanced presentation is not provided. Instead, an introductory presentation is provided, with an eye toward practical usefulness.
Specifically, the topics presented, with the chapter numbers, are given below:
14. Discrete Optimization
15. Modeling Complex Systems: Surrogate Modeling and Design Space Reduction
16. Design Optimization Under Uncertainty
17. Methods for Pareto Frontier Generation/Representation
18. Physical Programming for Multiobjective Optimization
19. Evolutionary Algorithms
Review the options below to login to check your access.
Log in with your Cambridge Higher Education account to check access.
If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.