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kulkarni anand jayant; tai kang; abraham ajith - probability collectives
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Probability Collectives A Distributed Multi-agent System Approach for Optimization

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 10/2016
Edizione: Softcover reprint of the original 1st ed. 2015





Trama

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.





Sommario

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.










Altre Informazioni

ISBN:

9783319365213

Condizione: Nuovo
Collana: Intelligent Systems Reference Library
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:IX, 157 p. 68 illus.
Pagine Arabe: 157
Pagine Romane: ix


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