Advances in Bio-inspired Computing for Combinatorial Optimization Problems

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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Bibliographic Details
Main Author:	Pintea, Camelia-Mihaela (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Series:	Intelligent Systems Reference Library, 57
Subjects:	Engineering. Operations research. Decision making. Artificial intelligence. Computational intelligence. Computational Intelligence. Artificial Intelligence (incl. Robotics). Operation Research/Decision Theory.
Online Access:	Full Text via HEAL-Link

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