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Probability Collectives

A Distributed Multi-agent System Approach for Optimization

Anand Jayant Kulkarni, Kang Tai, Ajith Abraham (Autoren)

Buch | Hardcover

IX, 157 Seiten

2015 | 2015
Springer International Publishing (Verlag)
978-3-319-15999-7 (ISBN)

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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.

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).

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.

"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)

Erscheint lt. Verlag	23.3.2015
Reihe/Serie	Intelligent Systems Reference Library
Zusatzinfo	IX, 157 p. 68 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	421 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Naturwissenschaften ► Physik / Astronomie ► Mechanik
	Naturwissenschaften ► Physik / Astronomie ► Thermodynamik
	Technik
Schlagworte	collective intelligence • Computational Intelligence • Distributed Multi-agent Systems • Optimization • probability collectives
ISBN-10	3-319-15999-2 / 3319159992
ISBN-13	978-3-319-15999-7 / 9783319159997
Zustand	Neuware