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Metaheuristics: Progress in Complex Systems Optimization

Metaheuristics: Progress in Complex Systems Optimization

Metaheuristics: Progress in Complex Systems Optimization
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Metaheuristics: Progress in Complex Systems Optimization Hardback - 2007

by Karl F. Doerner (Editor); Michel Gendreau (Editor); Peter Greistorfer (Editor)

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Description

Springer, 2007. Hardcover. Good. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Details

  • Title Metaheuristics: Progress in Complex Systems Optimization
  • Author Karl F. Doerner (Editor); Michel Gendreau (Editor); Peter Greistorfer (Editor)
  • Binding Hardback
  • Edition 1st
  • Condition Used - Good
  • Pages 410
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2007
  • Illustrated Yes
  • Features Illustrated, Table of Contents
  • Bookseller's Inventory # G0387719199I3N10
  • ISBN 9780387719191 / 0387719199
  • Weight 1.83 lbs (0.83 kg)
  • Dimensions 9.17 x 6.52 x 1.12 in (23.29 x 16.56 x 2.84 cm)
  • Category Business / Economics / Finance
  • Library of Congress Catalogue Number 2007928813
  • Dewey Decimal Code 330
  • Quantity available 1

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Reader reviews for Metaheuristics: Progress in Complex Systems Optimization

From the publisher

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.

From the rear cover

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.

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