Probability Collectives
A Distributed Multi-agent System Approach for Optimization
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Beschreibung
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.
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.
Provides the core and underlying principles and analysis of the different concepts in the framework of Collective Intelligence for modeling and controlling distributed Multi-Agent Systems Discusses in detail the modified Probability Collectives approach proposed by the authors Emphasizes development of the fundamental results from basic concepts Numerous examples/problems are worked out in the text allowing the reader to gain further insight into the associated concepts Written for engineers, scientists and students in Optimization, Computational Intelligence or Artificial Intelligence and particularly involved in the Collective Intelligence field Includes supplementary material: sn.pub/extras
Autor*in
Anand Jayant Kulkarni
Themen in »Probability Collectives«
Collective Intelligence Distributed Multi-agent Systems Optimization Probability Collectives
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“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)
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