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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.18.05.M.Sc.2010.Ah.P | ||
| 100 | 0 | _aAhmed Mohamed Emam Zaky | |
| 245 | 1 | 2 |
_aA particle swarm technique for treating optimization problems / _cAhmed Mohamed Emam Zaky ; Supervised Mohamed Hassan Gadallah , Mohamed Bayoumi Ali |
| 246 | 1 | 5 | _aمعالجة امثلية المشكلات باستخدام اسلوب اسراب الجسيمات |
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_aCairo : _bAhmed Mohamed Emam Zaky , _c2010 |
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_a111Leaves : _bcharts ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Operation Research | ||
| 520 | _aParticle swarm optimization (PSO) is a stochastic optimization approach modeled on the social behavior of bird flocks . In PSO individuals referred to as particles are flown through hyper dimensional search space adjusting their positions toward an optimum solution . This thesis introduces a new variation of the PSO algorithm called triggered particle swarm optimization (T-PSO) | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aParticle swarm optimization | |
| 653 | 4 | _aTreating optimization problems | |
| 653 | 4 | _aTriggered particle swarm optimization | |
| 700 | 0 |
_aMohamed Bayoumi Ali , _eSupervisor |
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| 700 | 0 |
_aMohamed Hassan Gadallah , _eSupervisor |
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