Metaheuristics: Progress in Complex Systems Optimization
Karl F. Doerner
ISBN 10: 1441944214 ISBN 13: 9781441944214
Published by Springer-Verlag New York Inc., 2010
New
Paperback / softback
From
THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
AbeBooks Seller since June 14, 2006
This specific item is no longer available.
About this Item
Description:
New copy - Usually dispatched within 7-11 working days. Seller Inventory # B9781441944214
Synopsis:
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 Back 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.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Metaheuristics: Progress in Complex Systems ...
Publisher: Springer-Verlag New York Inc.
Publication Date: 2010
Binding: Paperback / softback
Condition: New