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005 | 20250223031146.0 | ||
008 | 150225s2014 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 | _aCai01.13.04.M.Sc.2014.Ah.A | ||
100 | 0 | _aAhmed Mohamed Elsayed Ahmed Aly Khalil | |
245 | 1 | 0 |
_aApplications and development of stochastic global optimization methods for thermodynamic problems / _cAhmed Mohamed Elsayed Ahmed Aly Khalil ; Supervised Mai K. Fouad , Seif-Eddeen K. Fateen |
246 | 1 | 5 | _a تطبيق طرق الامثلة العشوائية وتطويرها فى حل مسائل الديناميكا الحرارية |
260 |
_aCairo : _bAhmed Mohamed Elsayed Ahmed Aly Khalil , _c2014 |
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300 |
_a115 P. : _bcharts , facsimiles ; _c30cm |
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502 | _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Chemical Engineering | ||
520 | _aThermodynamic problems of phase stability and phase equilibrium of reactive and non-reactive systems were evaluated using three stochastic swarm algorithms. These algorithms were Monkey Algorithm (MA), Gravitational Search Algorithm (GSA), and Krill Herd Algorithm (KHA). Then a new developed hybrid, MAKHA was found to be more reliable and more efficient in solving 24 out of the 27 tested benchmark problems compared to the performance of its two parent algorithms, MA and KHA. Also MAKHA outperformed its parent algorithms in solving nine difficult thermodynamic problems | ||
530 | _aIssued also as CD | ||
653 | 4 | _aPhase equilibrium calculations | |
653 | 4 | _aPhase stability analysis | |
653 | 4 | _aStochastic swarm algorithms | |
700 | 0 |
_aMai K. Fouad , _eSupervisor |
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700 | 0 |
_aSeif-Eddeen K. Fateen , _eSupervisor |
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856 | _uhttp://172.23.153.220/th.pdf | ||
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_aAml _eCataloger |
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_aNazla _eRevisor |
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