Probability Collectives: A Distributed Multi-agent System Approach for Optimization - Anand Jayant Kulkarni,Kang Tai,Ajith Abraham
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Toimitus 12-18 arkipäivässä
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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 efficien ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Anand Jayant Kulkarni, Kang Tai, Ajith Abraham |
|---|---|
| Julkaisija | Springer Nature Switzerland |
| Series | Intelligent Systems Reference Library |
| Julkaisuvuosi | 2016 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783319365213 |