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010   $a9786613525789
010   $a1-4398-3577-2
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100   $a20180331d2012      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aParticle swarm optimisation $eclassical and quantum perspectives /$fJun Sun, Choi-Hong Lai, Xiao-Jun Wu
210  1$aBoca Raton, Fla. :$cCRC Press,$d2012.
215   $a1 online resource (419 p.)
225 1 $aChapman and Hall/CRC numerical analysis and scientific computing
300   $aA Chapman & Hall book.
311   $a1-4398-3576-4 
320   $aIncludes bibliographical references and index.
327   $aFront 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
330   $aThis volume provides a detailed description of the state of the art of particle swarm optimization (PSO) and quantum-behaved particle swarm optimization (QPSO) algorithms. The authors present the motivation, principles, and theoretical analysis of the algorithms. They discuss advanced topics such as the behavior of individual particles, global convergence, time complexity, and rate of convergence. The authors also present various examples and applications to show the applicability of QPSO algorithms. In addition, the book includes the source code of the algorithm--Provided by publisher.
410  0$aChapman & Hall/CRC numerical analysis and scientific computing.
606   $aMathematical optimization
606   $aParticles (Nuclear physics)
606   $aSwarm intelligence
615  0$aMathematical optimization.
615  0$aParticles (Nuclear physics)
615  0$aSwarm intelligence.
676   $a531/.16
686   $aCOM051300$aMAT000000$aMAT021000$2bisacsh
700   $aSun$b Jun$f1971,$01616765
701   $aLai$b Choi-Hong$01616766
701   $aWu$b Xiao-Jun$01616767
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910815025503321
996   $aParticle swarm optimisation$93947657
997   $aUNINA