CHF 189.00

Hybrid Metaheuristics
An Emerging Approach to Optimization

Englisch · Taschenbuch

Versand in der Regel in 6 bis 7 Wochen

Beschreibung

Mehr lesen

Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming.
The authors involved in this book are among the top researchers in their domain. The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.

Zusammenfassung

Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming.
The authors involved in this book are among the top researchers in their domain. The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.

Produktdetails

Mitarbeit Christian Blum (Herausgeber), Michael Sampels (Herausgeber), Andrea Roli (Herausgeber), Maria José Blesa Aguilera (Herausgeber), Andre Roli (Herausgeber)
Verlag Springer, Berlin
 
Inhalt Buch
Produktform Taschenbuch
Erscheinungsdatum 12.10.2010
Thema Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika
 
EAN 9783642096976
ISBN 978-3-642-09697-6
Anzahl Seiten 290
Illustration X, 290 p.
Abmessung (Verpackung) 15.5 x 1.6 x 23.5 cm
Gewicht (Verpackung) 458 g
 
Serie Studies in Computational Intelligence > 114
Studies in Computational Intelligence
Themen C, Künstliche Intelligenz, Optimization, Artificial Intelligence, Evolution, engineering, intelligence, Heuristics, Programming, Mathematical and Computational Engineering, Engineering mathematics, Applied mathematics, Mathematical and Computational Engineering Applications, linear optimization, metaheuristic, evolutionary computation
 

Kundenrezensionen

Zu diesem Artikel wurden noch keine Rezensionen verfasst. Schreibe die erste Bewertung und sei anderen Benutzern bei der Kaufentscheidung behilflich.

Schreibe eine Rezension

Top oder Flop? Schreibe deine eigene Rezension.

Für Mitteilungen an CeDe.ch kannst du das Kontaktformular benutzen.

Die mit * markierten Eingabefelder müssen zwingend ausgefüllt werden.

Mit dem Absenden dieses Formulars erklärst du dich mit unseren Datenschutzbestimmungen einverstanden.