| 000 | 01915cam a22003494a 4500 | ||
|---|---|---|---|
| 001 | 16967054 | ||
| 005 | 20160625133359.0 | ||
| 007 | co |g||||||||| | ||
| 008 | 110919s2012 flua b 001 0 eng | ||
| 010 | _a 2011033831 | ||
| 020 | _a9781439835760 (hardback) | ||
| 035 | _a(OCoLC)ocn466360839 | ||
| 040 |
_aDLC _cDLC _dYDX _dBTCTA _dYDXCP _dDLC |
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| 042 | _apcc | ||
| 082 | 0 | 0 |
_a531.16 _223 _bSUN/P |
| 100 | 1 |
_aSun, Jun. _d1971- _9665 |
|
| 245 | 1 | 0 |
_aParticle swarm optimisation : _bclassical and quantum perspectives / _cby Jun Sun, Choi-Hong Lai and Xiao-Jun Wu. |
| 260 |
_aBoca Raton, FL : _bCRC Press, _cc2012. |
||
| 300 |
_axxii, 397 p. : _bill. ; _c25 cm. + _eCD-ROM (4 3/4 in.). |
||
| 490 | 1 | _aChapman and Hall/CRC numerical analysis and scientific computing | |
| 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"--Provided by publisher. | ||
| 650 | 0 |
_aMathematical optimization. _9662 |
|
| 650 | 0 |
_aParticles (Nuclear physics) _9666 |
|
| 650 | 0 |
_aSwarm intelligence. _9667 |
|
| 700 | 1 |
_aLai, Choi-Hong. _9668 |
|
| 700 | 1 |
_aWu, Xiao-Jun. _9669 |
|
| 830 | 0 |
_aChapman & Hall/CRC numerical analysis and scientific computing. _9670 |
|
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2ddc _cTB |
||
| 999 |
_c7885 _d7885 |
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