Metaheuristics - Progress in Complex Systems Optimization (Hardcover)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Operations Research/Computer Science Interfaces Series, 39
Release date:	August 2007
First published:	2007
Editors:	Karl F. Doerner • Michel Gendreau • Peter Greistorfer • Walter Gutjahr • Richard F. Hartl • Marc Reimann
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Hardcover
Pages:	410
ISBN-13:	978-0-387-71919-1
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General
LSN:	0-387-71919-9
Barcode:	9780387719191

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!