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Operations Research/Computer Science Interfaces Series

Metaheuristics

Progress in Complex Systems Optimization

Editors: Doerner, K.F., Gendreau, M., Greistorfer, P., Gutjahr, W., Hartl, R.F., Reimann, M. (Eds.)

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  • All papers in the volume are carefully peer-reviewed
  • A series of tutorials on developing areas in Metaheuristics are given by some of the top researchers in Metaheuristics: Edmund Burke, Reuven Rubinstein, Eric Taillard, Gilles Pesant, Pierre Hansen, and Stefan Voß
  • Equally useful as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field
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Hardcover $139.99
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About this book

The aim of METAHEURISTICS: Progress in Complex Systems Optimization is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field.

Highlighted are recent developments in the areas of Simulated Annealing, Path Relinking, Scatter Search, Tabu Search, Variable Neighborhood Search, Hyper-heuristics, Constraint Programming, Iterated Local Search, GRASP, bio-inspired algorithms like Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization or Swarm Intelligence, and several other paradigms.

Table of contents (20 chapters)

Table of contents (20 chapters)
  • Experiments Using Scatter Search for the Multidemand Multidimensional Knapsack Problem

    Pages 3-24

    Hvattum, Lars Magnus (et al.)

  • A Scatter Search Heuristic for the Fixed-Charge Capacitated Network Design Problem

    Pages 25-40

    Crainic, Teodor Gabriel (et al.)

  • Tabu Search-Based Metaheuristic Algorithm for Large-scale Set Covering Problems

    Pages 43-63

    Caserta, Marco

  • Log-Truck Scheduling with a Tabu Search Strategy

    Pages 65-88

    Gronalt, Manfred (et al.)

  • Solving the Capacitated Multi-Facility Weber Problem by Simulated Annealing, Threshold Accepting and Genetic Algorithms

    Pages 91-112

    Aras, Necati (et al.)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-0-387-71921-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-0-387-71919-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $139.99
price for USA in USD
  • ISBN 978-1-4419-4421-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Metaheuristics
Book Subtitle
Progress in Complex Systems Optimization
Editors
  • Karl F. Doerner
  • Michel Gendreau
  • Peter Greistorfer
  • Walter Gutjahr
  • Richard F. Hartl
  • Marc Reimann
Series Title
Operations Research/Computer Science Interfaces Series
Series Volume
39
Copyright
2007
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-71921-4
DOI
10.1007/978-0-387-71921-4
Hardcover ISBN
978-0-387-71919-1
Softcover ISBN
978-1-4419-4421-4
Series ISSN
1387-666X
Edition Number
1
Number of Pages
XIV, 410
Number of Illustrations
66 b/w illustrations
Topics

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