02994oam 2200709I 450 991081502550332120200520144314.00-429-10599-11-280-12192-097866135257891-4398-3577-210.1201/b11579 (CKB)2550000000074866(EBL)826934(OCoLC)781261768(SSID)ssj0000564984(PQKBManifestationID)11359249(PQKBTitleCode)TC0000564984(PQKBWorkID)10516105(PQKB)10655617(Au-PeEL)EBL826934(CaPaEBR)ebr10517987(CaONFJC)MIL352578(OCoLC)773364464(OCoLC-P)773364464(CaSebORM)9781439835777(MiAaPQ)EBC826934(EXLCZ)99255000000007486620180331d2012 uy 0engur|n|---|||||txtccrParticle swarm optimisation classical and quantum perspectives /Jun Sun, Choi-Hong Lai, Xiao-Jun WuBoca Raton, Fla. :CRC Press,2012.1 online resource (419 p.)Chapman and Hall/CRC numerical analysis and scientific computingA Chapman & Hall book.1-4398-3576-4 Includes bibliographical references and index.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 CoverThis 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.Chapman & Hall/CRC numerical analysis and scientific computing.Mathematical optimizationParticles (Nuclear physics)Swarm intelligenceMathematical optimization.Particles (Nuclear physics)Swarm intelligence.531/.16COM051300MAT000000MAT021000bisacshSun Jun1971,1616765Lai Choi-Hong1616766Wu Xiao-Jun1616767MiAaPQMiAaPQMiAaPQBOOK9910815025503321Particle swarm optimisation3947657UNINA