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...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2013.
Cham : Springer Nature |
| Édition: | 1st ed. 2013. |
| Collection: | Studies in Computational Intelligence
434 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
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 |
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| 100 | 1 | |a Talbi, El-Ghazali, |d 1965-...., |c auteur en informatique. | |
| 245 | 1 | 0 | |a Hybrid Metaheuristics |c edited by El-Ghazali Talbi. |
| 250 | |a 1st ed. 2013. | ||
| 256 | |a Données textuelles | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2013. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 434 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling | ||
| 538 | |a Nécessite un lecteur de fichier PDF | ||
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| 776 | 0 | |t Hybrid Metaheuristics |b Texte imprimé |z 9783642306723 | |
| 776 | 0 | |t Hybrid Metaheuristics |b Texte imprimé |z 9783642429057 | |
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