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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 problem...
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| Lenguaje: | eng |
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Springer
2013
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-40179-4 http://cds.cern.ch/record/1620179 |