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Global Optimization in Engineering Design

  • Ignacio E. Grossmann

Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 9)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Thomas G. W. Epperly, Ross E. Swaney
    Pages 1-35
  3. Thomas G. W. Epperly, Ross E. Swaney
    Pages 37-73
  4. V. Visweswaran, C. A. Floudas
    Pages 75-109
  5. Ragavan Vaidyanathan, Mahmoud El-Halwagi
    Pages 175-193
  6. Ming-Long Liu, Nikolaos V. Sahinidis, J. Parker Shectman
    Pages 195-230
  7. M. G. Ierapetritou, E. N. Pistikopoulos
    Pages 231-287
  8. Edward M. B. Smith, Constantinos C. Pantelides
    Pages 355-386
  9. Back Matter
    Pages 387-387

About this book

Introduction

Mathematical Programming has been of significant interest and relevance in engineering, an area that is very rich in challenging optimization problems. In particular, many design and operational problems give rise to nonlinear and mixed-integer nonlinear optimization problems whose modeling and solu­ tion is often nontrivial. Furthermore, with the increased computational power and development of advanced analysis (e. g. , process simulators, finite element packages) and modeling systems (e. g. , GAMS, AMPL, SPEEDUP, ASCEND, gPROMS), the size and complexity of engineering optimization models is rapidly increasing. While the application of efficient local solvers (nonlinear program­ ming algorithms) has become widespread, a major limitation is that there is often no guarantee that the solutions that are generated correspond to global optima. In some cases finding a local solution might be adequate, but in others it might mean incurring a significant cost penalty, or even worse, getting an incorrect solution to a physical problem. Thus, the need for finding global optima in engineering is a very real one. It is the purpose of this monograph to present recent developments of tech­ niques and applications of deterministic approaches to global optimization in engineering. The present monograph is heavily represented by chemical engi­ neers; and to a large extent this is no accident. The reason is that mathematical programming is an active and vibrant area of research in chemical engineering. This trend has existed for about 15 years.

Keywords

RSI algorithms calculus engineering design linear optimization modeling nonlinear optimization optimization

Editors and affiliations

  • Ignacio E. Grossmann
    • 1
  1. 1.Carnegie Mellon UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-5331-8
  • Copyright Information Springer-Verlag US 1996
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-4754-3
  • Online ISBN 978-1-4757-5331-8
  • Series Print ISSN 1571-568X
  • Buy this book on publisher's site