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Probability Collectives

A Distributed Multi-agent System Approach for Optimization
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Paru le : 2015-02-25

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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Description du livre


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.

À propos

Auteur
Ajith Abraham , Anand Jayant Kulkarni , Kang Tai
Éditeur
Springer
Collection
Intelligent Systems Reference Library
Parution
2015-02-25
Pages
157 pages
EAN papier
9783319159997

Caractéristiques détaillées - droits

EAN EPUB
9783319160009
Prix
94,94 €
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
2355 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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