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: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
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Series: | Intelligent Systems Reference Library,
57 |
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Online Access: | Full Text via HEAL-Link |
Internet
Full Text via HEAL-LinkΒΚΠ - Πατρα: ALFd
Call Number: |
330.01 BAU |
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Copy 1 | Available |
ΒΚΠ - Πατρα: BSC
Call Number: |
330.01 BAU |
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Copy 2 | Available |
Copy 3 | Available |