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Advances in bio-inspired computing for combinatorial optimization problems

Autor Camelia-Mihaela Pintea
Vydavatel: Berlin : Springer, [2013?] ©2014
Edice: Intelligent systems reference library, v.57
Vydání/formát:   e-kniha : Document : EnglishZobrazit všechny vydání a formáty
Databáze:WorldCat
Shrnutí:
"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  Přečíst více...
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Detaily

Žánr/forma: Electronic books
Ebook
Doplňující formát: Print version:
Pintea, Camelia-Mihaela.
Advances in Bio-inspired Computing for Combinatorial Optimization Problems.
Dordrecht : Springer, ©2013
Typ materiálu: Document, Internetový zdroj
Typ dokumentu: Internet Resource, Computer File
Všichni autoři/tvůrci: Camelia-Mihaela Pintea
ISBN: 9783642401794 3642401791 3642401783 9783642401787 1299860761 9781299860766
OCLC číslo: 857586057
Popis: 1 online resource (x, 188 pages) : illustrations.
Obsahy: 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.
Název edice: Intelligent systems reference library, v.57
Odpovědnost: Camelia-Mihaela Pintea.
Více informací:

Anotace:

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,  Přečíst více...

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