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| 003 | EG-GiCUC | ||
| 005 | 20250223025919.0 | ||
| 008 | 090826s2009 ua d 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 | _aCai01.20.02.M.Sc.2009.Wa.C | ||
| 100 | 0 | _aWael Rateb Mahmoud Rashwan | |
| 245 | 1 | 2 |
_aA collective intellignce approach to a routing problem / _cWael Rateb Mahmoud Rashwan ; Supervised Mohamed Hassan Rasmy , Mohammed Adel Elbeltagy |
| 246 | 1 | 5 | _aمنهج الذكاء الجماعى لمشكلة تحديد المسار |
| 260 |
_aCairo : _bWael Rateb Mahmoud Rashwan , _c2009 |
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_a84Leaves : _bcharts ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Operation Research and Decision Support | ||
| 520 | _aA complex system is usually hard to describe, because it consists of several elements that interact with each other. Those interactions are often and hence not directy proportional to their causes. Such complexity demands new approaches to design, control and optimize. This work explore the use of the CoIIective INtelligence (COIN) approach to address the challenges of the complex systems | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aCoIIective INtelligence (COIN) | |
| 653 | 4 | _aPacket routing | |
| 653 | 4 | _aShortest path algorithim | |
| 700 | 0 |
_aMohamed Hassan Rasmy , _eSupervisor |
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| 700 | 0 |
_aMohammed Adel Elbeltagy , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 902 | _a1 | ||
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_aFatma _eCataloger |
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_aNazla _eRevisor |
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_2ddc _cTH |
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_c23429 _d23429 |
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