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Advances in bio-inspired computing for combinatorial optimization problems

Autor: Camelia-Mihaela Pintea
Editorial: Berlin : Springer, [2013?] ©2014
Serie: Intelligent systems reference library, v.57
Edición/Formato:   Libro-e : Documento : Inglés (eng)Ver todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:
"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  Leer más
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Género/Forma: Electronic books
Ebook
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 en Internet
Tipo de documento: Recurso en Internet, Archivo de computadora
Todos autores / colaboradores: Camelia-Mihaela Pintea
ISBN: 9783642401794 3642401791 3642401783 9783642401787 1299860761 9781299860766
Número OCLC: 857586057
Descripción: 1 online resource (x, 188 pages) : illustrations.
Contenido: 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 de la serie: Intelligent systems reference library, v.57
Responsabilidad: Camelia-Mihaela Pintea.
Más información:

Resumen:

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,  Leer más

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