Overview
- Source of ideas for people who need to implement global optimization software
- Focuses on implementation of algorithms, whereas most global optimization literature focuses on theory
- Includes supplementary material: sn.pub/extras
Part of the book series: Nonconvex Optimization and Its Applications (NOIA, volume 84)
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Table of contents (14 chapters)
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Front Matter
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Methods
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Front Matter
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Implementations
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Front Matter
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Back Matter
Keywords
About this book
Most books about global optimization describe the theory of the algorithms, whereas a given implementation’s quality never depends exclusively on the theoretical soundness of the algorithms that are implemented. The literature rarely discusses the tuning of algorithmic parameters, implementation tricks, software architectures, and the embedding of local solvers within global solvers. And yet, there are many good software implementations "out there” from which the entire community could learn something.
The scope of this book is moving a few steps toward the systematization of the path that goes from the invention to the implementation and testing of a global optimization algorithm. Some of the contributors to the book are famous and some are less well-known, but all are experts in the discipline of actually getting global optimization to work. Thus, the papers in this book address the following topics:
- Descriptions of new implementations of general-purpose or problem-specific global optimization algorithms
- New algorithms in global optimization (some with numerical results and a discussion of the implementation)
- Surveys discussing existing software packages.
Editors and Affiliations
Bibliographic Information
Book Title: Global Optimization
Book Subtitle: From Theory to Implementation
Editors: Leo Liberti, Nelson Maculan
Series Title: Nonconvex Optimization and Its Applications
DOI: https://doi.org/10.1007/0-387-30528-9
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2006
Hardcover ISBN: 978-0-387-28260-2Published: 21 February 2006
Softcover ISBN: 978-1-4419-3930-2Published: 29 November 2010
eBook ISBN: 978-0-387-30528-8Published: 22 June 2006
Series ISSN: 1571-568X
Edition Number: 1
Number of Pages: XIV, 428
Topics: Optimization, Operations Research, Management Science, Algorithms, Mathematical Software, Symbolic and Algebraic Manipulation, Mathematical Modeling and Industrial Mathematics