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040 _aEG-GiCUC
_beng
_cEG-GiCUC
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
260 _aCairo :
_bAyman Abdelghaffar Rashad Mohamed Elkasaby ,
_c2017
300 _a87 Leaves :
_bcharts ;
_c30cm
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
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aShimaa
_eCataloger
942 _2ddc
_cTH
999 _c66331
_d66331