Studies in Computational Intelligence

Hybrid Metaheuristics

Editors: Talbi, El-Ghazali (Ed.)

  • Recent Research on Hybrid Metaheuristics
  • Carefully edited book on the growing field of hybrid metaheurtistics
  • Written by leading experts in the field
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  • ISBN 978-3-642-42905-7
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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)

Table of contents (17 chapters)

  • A Unified Taxonomy of Hybrid Metaheuristics with Mathematical Programming, Constraint Programming and Machine Learning

    Talbi, El-Ghazali

    Pages 3-76

  • Hybrid Metaheuristics for Dynamic and Stochastic Vehicle Routing

    Ritzinger, Ulrike (et al.)

    Pages 77-95

  • Combining Two Search Paradigms for Multi-objective Optimization: Two-Phase and Pareto Local Search

    Dubois-Lacoste, Jérémie (et al.)

    Pages 97-117

  • Hybridizing Cellular GAs with Active Components of Bio-inspired Algorithms

    Alba, E. (et al.)

    Pages 121-133

  • Hybridizations of GRASP with Path-Relinking

    Festa, Paola (et al.)

    Pages 135-155

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-3-642-30671-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.99
price for USA
  • ISBN 978-3-642-30670-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.99
price for USA
  • ISBN 978-3-642-42905-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Hybrid Metaheuristics
Editors
  • El-Ghazali Talbi
Series Title
Studies in Computational Intelligence
Series Volume
434
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
Distribution Rights
other books from SCI
eBook ISBN
978-3-642-30671-6
DOI
10.1007/978-3-642-30671-6
Hardcover ISBN
978-3-642-30670-9
Softcover ISBN
978-3-642-42905-7
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XXVI, 458
Topics