Abstract
This chapter presents the implementation of the GOP algorithm and a variety of computational studies which include problems in heat exchanger network synthesis, pooling and blending, separation networks, as well as concave and indefinite quadratic problems studied by Visweswaran and Floudas (1996b), (1990), (1993). Section 4.1 discusses the various aspects involved in the implementation, including reduction tests and local enhancements at each node of the tree. In particular, the movement of data from one part of the program to another is discussed in detail. Section 4.2 focuses on the computational studies.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Floudas, C.A. (2000). The GOP Approach : Implementation and Computational Studies. In: Deterministic Global Optimization. Nonconvex Optimization and Its Applications, vol 37. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-4949-6_4
Download citation
DOI: https://doi.org/10.1007/978-1-4757-4949-6_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4820-5
Online ISBN: 978-1-4757-4949-6
eBook Packages: Springer Book Archive