Metaheuristics: Progress in Complex Systems Optimization: 39 (Operations Research/Computer Science Interfaces Series) - Softcover

Buch 10 von 35: Operations Research/Computer Science Interfaces
 
9781441944214: Metaheuristics: Progress in Complex Systems Optimization: 39 (Operations Research/Computer Science Interfaces Series)
Softcover
ISBN 10: 1441944214 ISBN 13: 9781441944214
Verlag: Springer, 2010

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2010
Sprache
Englisch
ISBN 10 
1441944214
ISBN 13 
9781441944214
Einband
Tapa blanda
Anzahl der Seiten
424
Herausgeber
Doerner Karl F., Gendreau Michel, Greistorfer Peter, Gutjahr Walter, Hartl Richard F., Reimann Marc
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9780387719191: Metaheuristics: Progress in Complex Systems Optimization: 39 (Operations Research/Computer Science Interfaces Series)

Vorgestellte Ausgabe

ISBN 10:  0387719199 ISBN 13:  9780387719191
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Hardcover