| Description |
1 online resource (xx, 297 pages) : illustrations |
|
data file rda |
| Series |
Chapman & Hall/CRC studies in informatics series |
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Chapman & Hall/CRC studies in informatics series.
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| Bibliography |
Includes bibliographical references and index. |
| Contents |
1. Introduction -- 2. Evolutionary methods and evolutionary computation -- 3. Multi-agent simulation based on swarm -- 4. Evolutionary simulation -- 5. Ant colony : based simulation -- 6. Particle swarm simulation -- 7. Cellular automata simulation -- 8. Conclusion. |
| Summary |
Swarm-based multi-agent simulation leads to better modeling of tasks in biology, engineering, economics, art, and many other areas. It also facilitates an understanding of complicated phenomena that cannot be solved analytically. Agent-Based Modeling and Simulation with Swarm provides the methodology for a multi-agent-based modeling approach that integrates computational techniques such as artificial life, cellular automata, and bio-inspired optimization. Each chapter gives an overview of the problem, explores state-of-the-art technology in the field, and discusses multi-agent frameworks. The. |
| Subject |
Multiagent systems.
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Swarm intelligence.
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Systèmes multiagents (Intelligence artificielle) |
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Multiagent systems |
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Swarm intelligence |
| Other Form: |
Print version: Agent-based Modeling and Simulation With Swarm. Chapman & Hall 2013 9781466562349 (OCoLC)792874796 |
| ISBN |
1299706029 (electronic bk.) |
|
9781299706026 (electronic bk.) |
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9781466562400 (electronic bk.) |
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1466562404 (electronic bk.) |
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1138033707 |
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9781138033702 |
| Standard No. |
10.1201/b15024 doi |
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