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...
Salvato in:
| Autore principale: | |
|---|---|
| Altri autori: | , , , , |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2008. |
| Serie: | Studies in Computational Intelligence
114 |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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, 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 |
Sommario:
- Hybrid Metaheuristics: An Introduction Combining (Integer) Linear Programming Techniques and Metaheuristics for Combinatorial Optimization The Relation Between Complete and Incomplete Search Hybridizations of Metaheuristics With Branch & Bound Derivates Very Large-Scale Neighborhood Search: Overview and Case Studies on Coloring Problems Hybrids of Constructive Metaheuristics and Constraint Programming: A Case Study with ACO Hybrid Metaheuristics for Packing Problems Hybrid Metaheuristics for Multi-objective Combinatorial Optimization Multilevel Refinement for Combinatorial Optimisation: Boosting Metaheuristic Performance