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Metaheuristics

Progress in Complex Systems Optimization de

Éditeur :

Springer


Collection :

Operations Research/Computer Science Interfaces Series

Paru le : 2007-08-13

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Description
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.
Pages
410 pages
Collection
Operations Research/Computer Science Interfaces Series
Parution
2007-08-13
Marque
Springer
EAN papier
9780387719191
EAN PDF
9780387719214
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
16067 Ko
Prix
94,94 €

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