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Advances in bio-inspired computing for combinatorial optimization problems

Autor: Camelia-Mihaela Pintea
Editora: Berlin : Springer, [2013?] ©2014
Séries: Intelligent systems reference library, v.57
Edição/Formato   e-book : Documento : InglêsVer todas as edições e formatos
Base de Dados:WorldCat
Resumo:
"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  Ler mais...
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Detalhes

Gênero/Forma: Electronic books
Formato Físico Adicional: Print version:
Pintea, Camelia-Mihaela.
Advances in Bio-inspired Computing for Combinatorial Optimization Problems.
Dordrecht : Springer, ©2013
Tipo de Material: Documento, Recurso Internet
Tipo de Documento: Recurso Internet, Arquivo de Computador
Todos os Autores / Contribuintes: Camelia-Mihaela Pintea
ISBN: 9783642401794 3642401791 3642401783 9783642401787 1299860761 9781299860766
Número OCLC: 857586057
Descrição: 1 online resource (x, 188 pages) : illustrations.
Conteúdos: 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.
Título da Série: Intelligent systems reference library, v.57
Responsabilidade: Camelia-Mihaela Pintea.
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Resumo:

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,  Ler mais...

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