| Description |
1 online resource (xxii, 393 pages) : illustrations |
| Series |
Chapman & Hall/CRC numerical analysis and scientific computing |
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Chapman & Hall/CRC numerical analysis and scientific computing.
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| Summary |
"This volume provides a detailed description of the state of the art of particle swarm optimization (PSO) and quantum-behaved particle swarm optimization (QPSO) algorithms. The authors present the motivation, principles, and theoretical analysis of the algorithms. They discuss advanced topics such as the behavior of individual particles, global convergence, time complexity, and rate of convergence. The authors also present various examples and applications to show the applicability of QPSO algorithms. In addition, the book includes the source code of the algorithm"-- Provided by publisher |
| Bibliography |
Includes bibliographical references. |
| Contents |
Ch. 1. Introduction -- ch. 2. Particle swarm optimisation -- ch. 3. Some variants of particle swarm optimisation -- ch. 4. Quantum-behaved particle swarm optimisation -- ch. 5. Advanced topics -- ch. 6. Industrial applications. |
| Subject |
Mathematical optimization.
|
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Particles (Nuclear physics)
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Swarm intelligence.
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Optimisation mathématique. |
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Particules (Physique nucléaire) |
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particle physics. |
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Mathematical optimization |
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Particles (Nuclear physics) |
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Swarm intelligence |
| Added Author |
Lai, Choi-Hong.
|
|
Wu, Xiao-Jun.
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| Other Form: |
Print version: Sun, Jun, 1971- Particle swarm optimisation. Boca Raton : CRC Press, 2011 9781439835760 (DLC) 2011033831 (OCoLC)466360839 |
| ISBN |
9781439835777 (electronic bk.) |
|
1439835772 (electronic bk.) |
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1280121920 |
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9781280121920 |
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