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| 003 | EG-GiCUC | ||
| 008 | 100330s2010 ua dh f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.18.02.M.Sc.2010.Sh.E | ||
| 100 | 0 | _aShahira Shaaban Azab Ahmed | |
| 245 | 1 | 0 |
_aEnhancements for particle swarm optimization (PSO) algorithm / _cShahira Shaaban Azab Ahmed ; Supervised Shaban Abdelhamid Shaban , Hesham Ahmed Hefny |
| 246 | 1 | 5 | _aتحسينات لخوارزمية تقنية تحقيق الامثلية لحشود الجسيمات |
| 260 |
_aCairo : _bShahira Shaaban Azab Ahmed , _c2010 |
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_a147Leaves : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Institute of statistical studies and research - Department of Computer and Information Sciences | ||
| 520 | _aPSO is a very promising technique that has recently received a huge interest from researchers due to its simplicity and efficiency . It converges quickly and it can solve a wide range of problems in many areas . Lots of researches have been introduced to endhance performance of PSO . However the outcomes of such researches are still unsatisfactory | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aChaos theory | |
| 653 | 4 | _aParticle swarm optimization | |
| 653 | 4 | _aSwarm intelligence | |
| 700 | 0 |
_aHesham Ahmed Hefny , _eSupervisor |
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| 700 | 0 |
_aShaban Abdelhamid Shaban , _eSupervisor |
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_aNazla _eRevisor |
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_aSoheir _eCataloger |
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_2ddc _cTH |
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_c29911 _d29911 |
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