omitir hasta el contenido
Advances in bio-inspired computing for combinatorial optimization problems Ver este material de antemano
CerrarVer este material de antemano
Chequeando…

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
Calificación:

(todavía no calificado) 0 con reseñas - Ser el primero.

Temas
Más materiales como éste

 

Encontrar un ejemplar en línea

Enlaces a este material

Encontrar un ejemplar en la biblioteca

&AllPage.SpinnerRetrieving; Encontrando bibliotecas que tienen este material…

Detalles

Género/Forma: Electronic books
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
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

Reseñas

Reseñas contribuidas por usuarios
Recuperando reseñas de GoodReads…
Recuperando reseñas de DOGObooks…

Etiquetas

Ser el primero.
Confirmar este pedido

Ya ha pedido este material. Escoja OK si desea procesar el pedido de todos modos.

Datos enlazados


<http://www.worldcat.org/oclc/857586057>
library:oclcnum"857586057"
library:placeOfPublication
owl:sameAs<info:oclcnum/857586057>
rdf:typeschema:Book
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:bookFormatschema:EBook
schema:copyrightYear"2014"
schema:creator
schema:datePublished"2013"
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."
schema:description""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 their results are discussed. Some of the main concepts and models described in this book are: inner rule to guide ant search -- a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents. This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems."
schema:exampleOfWork<http://worldcat.org/entity/work/id/1393974402>
schema:genre"Electronic books."
schema:inLanguage"en"
schema:name"Advances in bio-inspired computing for combinatorial optimization problems"
schema:url
schema:url
schema:url<http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=629957>
schema:workExample
schema:workExample

Content-negotiable representations

Cerrar ventana

Inicie una sesión con WorldCat 

¿No tienes una cuenta? Puede fácilmente crear una cuenta gratuita.