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...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
|
| Edition: | 1st ed. 2014. |
| Series: | Intelligent Systems Reference Library,
57 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-642-40179-4 |
Table of Contents:
- 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.