000			02298nam a2200457 a 4500
001			EBC826934
003			MiAaPQ
005			20240120133050.0
006			m o d |
007			cr cn|||||||||
008			110919s2012 fluad sb 001 0 eng d
010			_z 2011033831
020			_z9781439835760 (hardback)
020			_a9781439835777 (electronic bk.)
035			_a(MiAaPQ)EBC826934
035			_a(Au-PeEL)EBL826934
035			_a(CaPaEBR)ebr10517987
035			_a(CaONFJC)MIL352578
035			_a(OCoLC)781261768
040			_aMiAaPQ _cMiAaPQ _dMiAaPQ
050		4	_aQC20.7.M27 _bS86 2012
082	0	4	_a531/.16 _223
100	1		_aSun, Jun, _d1971-
245	1	0	_aParticle swarm optimisation _h[electronic resource] : _bclassical and quantum perspectives / _cJun Sun, Choi-Hong Lai, Xiao-Jun Wu.
260			_aBoca Raton [Fla.] : _bCRC Press, _c2012.
300			_axxii, 393 p. : _bill.
490	1		_aChapman and Hall/CRC numerical analysis and scientific computing
500			_a"A Chapman & Hall book."
504			_aIncludes bibliographical references and index.
520			_a"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"-- _cProvided by publisher.
533			_aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650		0	_aMathematical optimization.
650		0	_aParticles (Nuclear physics)
650		0	_aSwarm intelligence.
655		4	_aElectronic books.
700	1		_aLai, Choi-Hong.
700	1		_aWu, Xiao-Jun.
710	2		_aProQuest (Firm)
830		0	_aChapman & Hall/CRC numerical analysis and scientific computing.
856	4	0	_uhttps://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=826934 _zClick to View
999			_c72596 _d72596