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Probability Collectives: A Distributed Multi-agent System Approach for Optimization
| Content Provider | Springer-eBooks |
|---|---|
| Author | Kulkarni, Anand Jayant Tai, Kang Abraham, Ajith |
| Copyright Year | 2015 |
| Abstract | 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. |
| File Format | |
| ISBN | 9783319160009 |
| Language | English |
| Publisher | SpringerLink Springer eBooks |
| Access Restriction | Subscribed |
| Subject Keyword | Engineering Computational Intelligence Artificial Intelligence (incl. Robotics) Statistical Physics, Dynamical Systems and Complexity |
| Content Type | Text |
| Resource Type | Book |