Metaheuristics: Progress in Complex Systems Optimization

Metaheuristics: Progress in Complex Systems Optimization

by Karl F. Doerner
     
 

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

Overview

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.

Product Details

ISBN-13:
9781441944214
Publisher:
Springer US
Publication date:
11/29/2010
Series:
Operations Research/Computer Science Interfaces Series, #39
Edition description:
Softcover reprint of hardcover 1st ed. 2007
Pages:
410
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

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