Probability Collectives A Distributed Multi-agent System Approach for Optimization /

This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniqu...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kulkarni, Anand Jayant (Autor), Tai, Kang (Autor), Abraham, Ajith (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Intelligent Systems Reference Library, 86
Temas:
Computational intelligence.
Artificial intelligence.
System theory.
Mathematical physics.
Computational Intelligence.
Artificial Intelligence.
Complex Systems.
Theoretical, Mathematical and Computational Physics.
Acceso en línea:Texto Completo
Descripción
Sumario:This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.
Descripción Física:IX, 157 p. 68 illus. online resource.
ISBN:9783319160009
ISSN:1868-4408 ;

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