Overview
- A complete and broad spectrum of approaches for dealing with global optimization problems
Part of the book series: Nonconvex Optimization and Its Applications (NOIA, volume 62)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (15 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
In 1995 the Handbook of Global Optimization (first volume), edited by R. Horst, and P.M. Pardalos, was published. This second volume of the Handbook of Global Optimization is comprised of chapters dealing with modern approaches to global optimization, including different types of heuristics.
Topics covered in the handbook include various metaheuristics, such as simulated annealing, genetic algorithms, neural networks, taboo search, shake-and-bake methods, and deformation methods. In addition, the book contains chapters on new exact stochastic and deterministic approaches to continuous and mixed-integer global optimization, such as stochastic adaptive search, two-phase methods, branch-and-bound methods with new relaxation and branching strategies, algorithms based on local optimization, and dynamical search. Finally, the book contains chapters on experimental analysis of algorithms and software, test problems, and applications.
Editors and Affiliations
Bibliographic Information
Book Title: Handbook of Global Optimization
Book Subtitle: Volume 2
Editors: Panos M. Pardalos, H. Edwin Romeijn
Series Title: Nonconvex Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4757-5362-2
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2002
Hardcover ISBN: 978-1-4020-0632-6Published: 30 June 2002
Softcover ISBN: 978-1-4419-5221-9Published: 29 September 2011
eBook ISBN: 978-1-4757-5362-2Published: 18 April 2013
Series ISSN: 1571-568X
Edition Number: 1
Number of Pages: VIII, 572
Number of Illustrations: 27 b/w illustrations
Topics: Computational Mathematics and Numerical Analysis, Operations Research, Management Science, Data Structures, Optimization, Algorithms