Overview
- Presents the latest research on using mathematical programming in metaheuristics frameworks
- Represents a major advance in complex problem-solving methodologies
- Presents breakthroughs in using Mixed Integer Programming to solve real-world problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Annals of Information Systems (AOIS, volume 10)
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About this book
Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization.
This edited book will provide a survey of the state of the art in this field by providing some invited reviews by well-known specialists as well as refereed papers from the second Matheuristics workshop to be held in Bertinoro, Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems.
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Keywords
Table of contents (11 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Matheuristics
Book Subtitle: Hybridizing Metaheuristics and Mathematical Programming
Editors: Vittorio Maniezzo, Thomas Stützle, Stefan Voß
Series Title: Annals of Information Systems
DOI: https://doi.org/10.1007/978-1-4419-1306-7
Publisher: Springer New York, NY
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag US 2010
Softcover ISBN: 978-1-4419-1305-0Published: 02 October 2009
eBook ISBN: 978-1-4419-1306-7Published: 18 September 2009
Series ISSN: 1934-3221
Series E-ISSN: 1934-3213
Edition Number: 1
Number of Pages: XVIII, 270
Number of Illustrations: 19 b/w illustrations
Topics: Operations Research/Decision Theory, Optimization, Econometrics, IT in Business, Economic Theory/Quantitative Economics/Mathematical Methods, Operations Research, Management Science