
Handbook of Test Problems in Local and Global Optimization
Springer (Publisher)
Published on 7. December 2010
Book
Paperback/Softback
XVI, 442 pages
978-1-4419-4812-0 (ISBN)
Description
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.
More details
Series
Edition
1st ed. Softcover of orig. ed. 1999
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XVI, 442 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 25 mm
Weight
692 gr
ISBN-13
978-1-4419-4812-0 (9781441948120)
DOI
10.1007/978-1-4757-3040-1
Schweitzer Classification
Other editions
Additional editions

Christodoulos A. Floudas | Panos M. Pardalos | Claire Adjiman
Handbook of Test Problems in Local and Global Optimization
Book
06/1999
Kluwer Academic Publishers
€213.99
Shipment within 15-20 days
Content
1 Introduction.- 2 Quadratic Programming Problems.- 3 Quadratically Constrained Problems.- 4 Univariate Polynomial Problems.- 5 Bilinear problems.- 6 Biconvex and (D.C.) Problems.- 7 Generalized Geometric Programming.- 8 Twice Continuously Differentiable NLPs.- 9 Bilevel Programming Problems.- 10 Complementarity Problems.- 11 Semidefinite Programming Problems.- 12 Mixed-Integer Nonlinear Problems.- 13 Combinatorial Optimization Problems.- 14 Nonlinear Systems of Equations.- 15 Dynamic Optimization Problems.