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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Detalles Bibliográficos
Autor principal:	Pintea, Camelia-Mihaela
Formato:	Libro electrónico
Lenguaje:	Inglés
Publicado:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Colección:	Intelligent Systems Reference Library, 57
Materias:	Operations research. Decision making. Engineering. Computational Intelligence. Artificial Intelligence (incl. Robotics). Decision Theory.
Acceso en línea:	http://dx.doi.org/10.1007/978-3-642-40179-4
Aporte de:	Registro referencial: Solicitar el recurso aquí Bibliotecas (ING-UNLP) de Universidad Nacional de La Plata

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