Hybrid metaheuristics : an emerging approach to optimization

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 co...

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Detaylı Bibliyografya
Yazar: Blum, Christian (Yayın yönetmeni)
Diğer Yazarlar: Roli, Andrea (Editör), Sampels, Michael (Editör), Blesa, María J., 19..- (Yayın yönetmeni), Roli, Andrea, 19..- (Yayın yönetmeni), Sampels, Michael, 19..- (Yayın yönetmeni)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edisyon:1st ed. 2008.
Seri Bilgileri:Studies in Computational Intelligence 114
Online Erişim:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
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Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Hybrid metaheuristics, an emerging approach to optimization, Christian Blum, Maria José Blesa Aguilera, Andrea Roli (eds)...[et al.], 2008, Berlin, Springer, 1 vol. (VIII-289 p.), Studies in computational intelligence, 978-3-540-78294-0
• Hybrid Metaheuristics, Texte imprimé, 9783642096976
• Hybrid Metaheuristics, Texte imprimé, 9783540870777
• Hybrid metaheuristics, an emerging approach to optimization, Christian Blum, Maria José Blesa Aguilera, Andrea Roli (eds)...[et al.], 2008, Berlin, Springer, 1 vol. (VIII-289 p.), Studies in computational intelligence, 978-3-540-78294-0
Diğer Bilgiler
Özet: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
Diğer Bilgileri:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540782957
ISSN:1860-9503
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017