Advances in Bio-inspired Computing for Combinatorial Optimization Problems: 57 (Intelligent Systems Reference Library) - Tapa blanda

Pintea, Camelia-Mihaela

 
9783642438776: Advances in Bio-inspired Computing for Combinatorial Optimization Problems: 57 (Intelligent Systems Reference Library)
Tapa blanda
ISBN 10: 3642438776 ISBN 13: 9783642438776
Editorial: Springer, 2015

Sinopsis

"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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

"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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3642438776
ISBN 13 
9783642438776
Encuadernación
Tapa blanda
Número de páginas
200
Contacto del fabricante
no disponible
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Hamburg
Alemania

Otras ediciones populares con el mismo título

9783642401787: Advances in Bio-inspired Computing for Combinatorial Optimization Problems: 57 (Intelligent Systems Reference Library, 57)

Edición Destacada

ISBN 10:  3642401783 ISBN 13:  9783642401787
Editorial: Springer, 2013
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