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.
General
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