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Evolutionary Multi-Agent Systems: From Inspirations to Applications: 680 (Studies in Computational Intelligence, 680) - Tapa dura

Libro 194 de 538: Studies in Computational Intelligence

Byrski, Aleksander; Kisiel-Dorohinicki, Marek

 
9783319513874: Evolutionary Multi-Agent Systems: From Inspirations to Applications: 680 (Studies in Computational Intelligence, 680)
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ISBN 10: 3319513877 ISBN 13: 9783319513874
Editorial: Springer, 2017

Sinopsis

This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results.

Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.

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

De la contraportada

This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results.

Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.

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

Editorial
Springer
Año de publicación
2017
Idioma
Inglés
ISBN 10 
3319513877
ISBN 13 
9783319513874
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
226
Contacto del fabricante
no disponible
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