LEADER 02998oam 2200709I 450 001 9910781525303321 005 20200520144314.0 010 $a0-429-10599-1 010 $a1-280-12192-0 010 $a9786613525789 010 $a1-4398-3577-2 024 7 $a10.1201/b11579 035 $a(CKB)2550000000074866 035 $a(EBL)826934 035 $a(OCoLC)781261768 035 $a(SSID)ssj0000564984 035 $a(PQKBManifestationID)11359249 035 $a(PQKBTitleCode)TC0000564984 035 $a(PQKBWorkID)10516105 035 $a(PQKB)10655617 035 $a(MiAaPQ)EBC826934 035 $a(Au-PeEL)EBL826934 035 $a(CaPaEBR)ebr10517987 035 $a(CaONFJC)MIL352578 035 $a(OCoLC)773364464 035 $a(OCoLC-P)773364464 035 $a(CaSebORM)9781439835777 035 $a(EXLCZ)992550000000074866 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,$01559847 701 $aLai$b Choi-Hong$01559848 701 $aWu$b Xiao-Jun$01559849 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781525303321 996 $aParticle swarm optimisation$93825384 997 $aUNINA