Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Advances in Bio-inspired Computing for Combinatorial Optimization Problems by Camelia-Mihaela Pintea.

"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: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Intelligent Systems Reference Library, 57
Springer eBook Collection.
Subjects:
Computational intelligence.
Artificial intelligence.
Operations research.
Decision making.
Electronic resources (E-books)
Online Access:Click to view e-book
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Call Number: E-Book
Status: Available

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