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Hybrid Metaheuristics

  • Book
  • © 2013

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Overview

Editors:
  1. El-Ghazali Talbi

    1. , Cite Scientifique, University of Lille 1, Villeneuve d'Ascq, France

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  • 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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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.

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Table of contents (17 chapters)

  1. Combining Metaheuristics with Machine Learning and Data Mining Techniques

    1. Front Matter

      Pages 415-415
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    2. Predicting Metaheuristic Performance on Graph Coloring Problems Using Data Mining

      • Kate Smith-Miles, Brendan Wreford, Leo Lopes, Nur Insani
      Pages 417-432
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    3. Boosting Metaheuristic Search Using Reinforcement Learning

      • Tony Wauters, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe
      Pages 433-452
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  2. Back Matter

    Pages 0--1
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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

  • , 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

  • Topics: Computational Intelligence, Artificial Intelligence

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