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Advances in Bio-inspired Computing for Combinatorial Optimization Problems
"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
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| Edición: | 1st ed. 2014. |
| Colección: | Intelligent Systems Reference Library,
57 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Part I Biological Computing and Optimization
- Part II Ant Algorithms
- Part III Bio-inspired Multi-Agent Systems
- Part IV Applications with Bio-inspired Algorithms
- Part V Conclusions and Remarks.