Editors:
- Recent Research on Hybrid Metaheuristics
- Carefully edited book on the growing field of hybrid metaheurtistics
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 434)
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Table of contents (17 chapters)
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Combining Metaheuristics with Machine Learning and Data Mining Techniques
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Front Matter
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Back Matter
About this book
The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling.
Reviews
From the book reviews:
“Hybrid Metaheuristics is an excellent manuscript for a reader who wants to understand state-of-the-art hybrid metaheuristics and their applications. … this book could be a source of inspiration for those looking for new procedures for hybridizing metaheuristics and new application areas for metaheuristic techniques. … a good reference for researchers, practitioners, and students of operations research or computer science who want to have a complete view of metaheuristics and the process of obtaining new procedures by hybridization.” (Javier Faulin, Interfaces, Vol. 44 (5), September-October, 2014)Editors and Affiliations
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, Cite Scientifique, University of Lille 1, Villeneuve d'Ascq, France
El-Ghazali Talbi
Bibliographic Information
Book Title: Hybrid Metaheuristics
Editors: El-Ghazali Talbi
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-30671-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-30670-9Published: 01 August 2012
Softcover ISBN: 978-3-642-42905-7Published: 20 September 2014
eBook ISBN: 978-3-642-30671-6Published: 31 July 2012
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXVI, 458
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