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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Pintea, Camelia-Mihaela (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Σειρά:	Intelligent Systems Reference Library, 57
Θέματα:	Engineering. Operations research. Decision making. Artificial intelligence. Computational intelligence. Computational Intelligence. Artificial Intelligence (incl. Robotics). Operation Research/Decision Theory.
Διαθέσιμο Online:	Full Text via HEAL-Link

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