Probability Collectives

A Distributed Multi-agent System Approach for Optimization

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

Buch | Softcover

IX, 157 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-36521-3 (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.

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)

Erscheinungsdatum	14.10.2016
Reihe/Serie	Intelligent Systems Reference Library
Zusatzinfo	IX, 157 p. 68 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Naturwissenschaften ► Physik / Astronomie ► Mechanik
	Naturwissenschaften ► Physik / Astronomie ► Thermodynamik
	Technik
Schlagworte	Artificial Intelligence • artificial intelligence (incl. robotics) • collective intelligence • Complex Systems • Computational Intelligence • Distributed Multi-agent Systems • Dynamics and statics • Engineering • Engineering: general • Optimization • probability collectives • Robotics • Statistical Physics • Statistical Physics and Dynamical Systems
ISBN-10	3-319-36521-5 / 3319365215
ISBN-13	978-3-319-36521-3 / 9783319365213
Zustand	Neuware