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Advances in bio-inspired computing for combinatorial optimization problems

Auteur: Camelia-Mihaela Pintea
Uitgever: Berlin : Springer, [2013?] ©2014
Serie: Intelligent systems reference library, v.57
Editie/Formaat:   eBoek : Document : EngelsAlle edities en materiaalsoorten bekijken.
Database:WorldCat
Samenvatting:
"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  Meer lezen...
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Details

Genre/Vorm: Electronic books
Genre: Document, Internetbron
Soort document: Internetbron, Computerbestand
Alle auteurs / medewerkers: Camelia-Mihaela Pintea
ISBN: 9783642401794 3642401791
OCLC-nummer: 857586057
Beschrijving: 1 online resource (x, 188 pages) : illustrations.
Inhoud: 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.
Serietitel: Intelligent systems reference library, v.57
Verantwoordelijkheid: Camelia-Mihaela Pintea.
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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,  Meer lezen...

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schema:description"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."
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