Handbook of Test Problems in Local and Global Optimization

Paradalos Panos M. Adjiman Claire S. Floudas Christodoulos A.

ISBN 10: 0792358015 / ISBN 13: 9780792358015

Published by Springer, 1999

About this Item

Print on Demand pp. 460 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Seller Inventory # 7562158

Bibliographic Details

• Title: Handbook of Test Problems in Local and Global Optimization
• Publisher: Springer
• Publication Date: 1999
• Language: English
• ISBN 10: 0792358015
• ISBN 13: 9780792358015
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Significant research activities have taken place in the areas of local and global optimization in the last two decades. Many new theoretical, computational, algorithmic, and software contributions have resulted. It has been realized that despite these numerous contributions, there does not exist a systematic forum for thorough experimental computational testing and· evaluation of the proposed optimization algorithms and their implementations. Well-designed nonconvex optimization test problems are of major impor­ tance for academic and industrial researchers interested in algorithmic and software development. It is remarkable that eventhough nonconvex models dominate all the important application areas in engineering and applied sci­ ences, there is only a limited dass of reported representative test problems. This book reflects our long term efforts in designing a benchmark database and it is motivated primarily from the need for nonconvex optimization test problems. The present collection of benchmarks indudes test problems from literature studies and a large dass of applications that arise in several branches of engineering and applied science.

Synopsis

The principal objective of this book is to present a collection of challenging test problems arising in literature studies and a wide spectrum of applications. These applications include: pooling/blending operations, heat exchanger network synthesis, phase and chemical reactor network synthesis, parameter estimation and data reconciliation, clusters of atoms and molecules, pump network synthesis, trim loss minimization, homogeneous azeotropic separation, dynamic optimization and optimal control problems. This book will be of value to academic and industrial researchers interested in algorithmic and software development of well-designed nonconvex optimization test problems.