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_aEG-GiCUC _beng _cEG-GiCUC |
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041 | 0 | _aeng | |
049 | _aDeposite | ||
097 | _aM.Sc | ||
099 | _aCai01.20.03.M.Sc.2017.Ay.E | ||
100 | 0 | _aAyman Abdelghaffar Rashad Mohamed Elkasaby | |
245 | 1 | 0 |
_aEnhancing multi-objective optimization using genetic programming / _cAyman Abdelghaffar Rashad Mohamed Elkasaby ; Supervised Akram Ibrahim Salah |
246 | 1 | 5 | _aتعزيزالأمثلية المتعددة الاهداف باستخدام البرمجة الجينية |
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_aCairo : _bAyman Abdelghaffar Rashad Mohamed Elkasaby , _c2017 |
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_a87 Leaves : _bcharts ; _c30cm |
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502 | _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science | ||
520 | _aSuccessful two-objective optimizers are not suitable for problems with more than three objectives, where selection pressure towards the Pareto front deteriorates, leading to most solutions becoming non-dominated to each other, making selection very difficult. In this paper, epsilon dominance is combined with genetic programming to solve a many-objective optimization problem for the first time. Results show this combination is promising | ||
530 | _aIssued also as CD | ||
653 | 4 | _aEpsilon Dominance | |
653 | 4 | _aGenetic Programming | |
653 | 4 | _aMultiobjective Optimization | |
700 | 0 |
_aAkram Ibrahim Salah , _eSupervisor |
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856 | _uhttp://172.23.153.220/th.pdf | ||
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_aNazla _eRevisor |
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_aShimaa _eCataloger |
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