Probability Collectives

A Distributed Multi-agent System Approach for Optimization

AvAnand Jayant Kulkarni,Kang Tai

Inbunden, Engelska, 2015

Del 86 i serien Intelligent Systems Reference Library

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Häftad

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2015-03-23
Mått:155 x 235 x 15 mm
Vikt:424 g
Format:Inbunden
Språk:Engelska
Serie:Intelligent Systems Reference Library
Antal sidor:157
Förlag:Springer International Publishing AG
ISBN:9783319159997

Utforska kategorier

Artificiell intelligens inom Data och IT
Fysik inom Naturvetenskap och teknik

Recensioner i media

"The book contains numerous overviews of the optimization literature, and each chapter has a comprehensive bibliography. The book will be of interest to both students who are interested in optimization and practitioners." (J. P. E. Hodgson, Computing Reviews, June, 2015)

Innehållsförteckning

Introduction to Optimization.- Probability Collectives: A Distributed Optimization Approach.- Constrained Probability Collectives: A Heuristic Approach.- Constrained Probability Collectives with a Penalty Function Approach.- Constrained Probability Collectives With Feasibility-Based Rule I.- Probability Collectives for Discrete and Mixed Variable Problems.- Probability Collectives with Feasibility-Based Rule II.