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Record Nr. |
UNINA9910458155903321 |
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Autore |
Sun Jun <1971, > |
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Titolo |
Particle swarm optimisation : classical and quantum perspectives / / Jun Sun, Choi-Hong Lai, Xiao-Jun Wu |
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Pubbl/distr/stampa |
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Boca Raton, Fla. : , : CRC Press, , 2012 |
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ISBN |
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0-429-10599-1 |
1-280-12192-0 |
9786613525789 |
1-4398-3577-2 |
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Descrizione fisica |
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1 online resource (419 p.) |
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Collana |
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Chapman and Hall/CRC numerical analysis and scientific computing |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Mathematical optimization |
Particles (Nuclear physics) |
Swarm intelligence |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front Cover; Contents; Preface; Authors; Chapter 1: Introduction; Chapter 2: Particle Swarm Optimisation; Chapter 4: Quantum-Behaved Particle Swarm Optimisation; Chapter 5: Advanced Topics; Chapter 6: Industrial Applications; Back Cover |
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Sommario/riassunto |
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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. |
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