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Advances in bio-inspired computing for combinatorial optimization problems

Auteur : Camelia-Mihaela Pintea
Éditeur: Berlin : Springer, [2013?] ©2014
Collection: Intelligent systems reference library, v. 57
Édition/format:   Livre électronique : Document : AnglaisVoir toutes les éditions et tous les formats
Résumé:
"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 problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and  Lire la suite...
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Détails

Genre/forme: Electronic books
Ebook
Format – détails additionnels: Print version:
Pintea, Camelia-Mihaela.
Advances in Bio-inspired Computing for Combinatorial Optimization Problems.
Dordrecht : Springer, ©2013
Type d’ouvrage: Document, Ressource Internet
Type de document: Ressource Internet, Fichier d'ordinateur
Tous les auteurs / collaborateurs: Camelia-Mihaela Pintea
ISBN: 9783642401794 3642401791 3642401783 9783642401787 1299860761 9781299860766
Numéro OCLC: 857586057
Description: 1 online resource (x, 188 pages) : illustrations.
Contenu: Part I. Biological Computing and Optimization --
Part II. Ant Algorithms --
Part III. Bio-inspired Multi-Agent Systems --
Part IV. Applications with Bio-inspired Algorithms --
Part V. Conclusions and Remarks.
Titre de collection: Intelligent systems reference library, v. 57
Responsabilité: Camelia-Mihaela Pintea.

Résumé:

This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots,  Lire la suite...

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