Overview
- All papers in the volume are carefully peer-reviewed papers, which include high-interest research papers and tutorials from top researchers
- 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
- 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
- Of special interest are: Fred Glover's “New Developments for Metaheuristics in Science and Industry”; “Ant Colony Optimization”; “Search-Based Software Testing”; “Cooperative Parallel Metaheuristics”; “Metaheuristics in Practice: Solving Industrial Problems in Supply Chain Management”
Part of the book series: Operations Research/Computer Science Interfaces Series (ORCS, volume 39)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (20 chapters)
-
Front Matter
-
Dynamic and Stochastic Problems
-
Front Matter
-
Keywords
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.
Editors and Affiliations
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
DOI: https://doi.org/10.1007/978-0-387-71921-4
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-71919-1Published: 23 August 2007
Softcover ISBN: 978-1-4419-4421-4Published: 29 November 2010
eBook ISBN: 978-0-387-71921-4Published: 13 August 2007
Series ISSN: 1387-666X
Series E-ISSN: 2698-5489
Edition Number: 1
Number of Pages: XIV, 410
Number of Illustrations: 66 b/w illustrations
Topics: Optimization, Operations Research/Decision Theory, Operations Research, Management Science, Artificial Intelligence, Mathematical Modeling and Industrial Mathematics, Theory of Computation
Industry Sectors: Aerospace, Biotechnology, Energy, Utilities & Environment, IT & Software