Hybrid Metaheuristics
The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization u...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2013.
Cham : Springer Nature |
| Vydání: | 1st ed. 2013. |
| Edice: | Studies in Computational Intelligence
434 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Hybrid metaheuristics, El-Ghazali Talbi (ed.), Berlin, Springer, 2013, 1 volume (xxv-[457] pages), Studies in Computational Intelligence, 978-3-642-30670-9 • Hybrid Metaheuristics, Texte imprimé, 9783642306723 • Hybrid Metaheuristics, Texte imprimé, 9783642429057 |
Obsah:
- Part I Hybrid metaheuristics for mono and multi-objective optimization, and optimization under uncertainty Part II Combining metaheuristics with (complementary) metaheuristics Part III Combining metaheuristics with exact methods from mathematical programming approaches Part IV Combining metaheuristics with constraint programming approaches Part V Combining metaheuristics with machine learning and data mining techniques