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Advances in bio-inspired computing for combinatorial optimization problems

Autore: Camelia-Mihaela Pintea
Editore: Berlin : Springer, [2013?] ©2014
Serie: Intelligent systems reference library, v.57
Edizione/Formato:   eBook : Document : EnglishVedi tutte le edizioni e i formati
Banca dati:WorldCat
Sommario:
"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  Per saperne di più…
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Dettagli

Genere/forma: Electronic books
Informazioni aggiuntive sul formato: Print version:
Pintea, Camelia-Mihaela.
Advances in Bio-inspired Computing for Combinatorial Optimization Problems.
Dordrecht : Springer, ©2013
Tipo materiale: Document, Risorsa internet
Tipo documento: Internet Resource, Computer File
Tutti gli autori / Collaboratori: Camelia-Mihaela Pintea
ISBN: 9783642401794 3642401791 3642401783 9783642401787 1299860761 9781299860766
Numero OCLC: 857586057
Descrizione: 1 online resource (x, 188 pages) : illustrations.
Contenuti: 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.
Titolo della serie: Intelligent systems reference library, v.57
Responsabilità: Camelia-Mihaela Pintea.
Maggiori informazioni:

Abstract:

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,  Per saperne di più…

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