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...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
2014, 2014
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| Edition: | 1st ed. 2014 |
| Series: | Intelligent Systems Reference Library
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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