Swarm stability and optimization / Veysel Gazi and Kevin M. Passino.
Swarming species such as flocks of birds or schools of fish exhibitfascinating collective behaviors during migration and predatoravoidance. Similarly, engineered multi-agent dynamic systems such as groups of autonomous ground, underwater, or air vehicles ("vehicle swarms") exhibit sophisti...
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| Language: | English |
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©2011.
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MARC
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| 100 | 1 | |a Gazi, Veysel. | |
| 245 | 1 | 0 | |a Swarm stability and optimization / |c Veysel Gazi and Kevin M. Passino. |
| 260 | |a New York : |b Springer, |c ©2011. | ||
| 300 | |a 1 online resource (xvii, 299 pages) | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a computer |b c |2 rdamedia. | ||
| 338 | |a online resource |b cr |2 rdacarrier. | ||
| 504 | |a Includes bibliographical references (pages 281-294) and index. | ||
| 505 | 0 | |a pt. 1. Basic principles -- pt. 2. Continuous time swarms -- pt. 3. Discrete time swarms -- pt. 4. Swarm based optimization methods. | |
| 520 | |a Swarming species such as flocks of birds or schools of fish exhibitfascinating collective behaviors during migration and predatoravoidance. Similarly, engineered multi-agent dynamic systems such as groups of autonomous ground, underwater, or air vehicles ("vehicle swarms") exhibit sophisticated collective behaviors while maneuvering. In this book we show how to model and control a wide range of suchmulti-agent dynamic systems and analyze their collective behaviorusing both stability theoretic and simulation-based approaches. Inparticular, we investigate problems such as group aggregat. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Swarm intelligence. | |
| 650 | 7 | |a Swarm intelligence. |2 fast |0 (OCoLC)fst01139953. | |
| 700 | 1 | |a Passino, Kevin M. | |
| 776 | 0 | 8 | |i Print version: |a Gazi, Veysel. |t Swarm stability and optimization. |d [S.l.] : Springer, ©2011 |z 364218040X |w (OCoLC)701026686. |
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