Enhancing multi-objective optimization using genetic programming / Ayman Abdelghaffar Rashad Mohamed Elkasaby ; Supervised Akram Ibrahim Salah
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- تعزيزالأمثلية المتعددة الاهداف باستخدام البرمجة الجينية [Added title page title]
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.20.03.M.Sc.2017.Ay.E (Browse shelf(Opens below)) | Not for loan | 01010110075112000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.20.03.M.Sc.2017.Ay.E (Browse shelf(Opens below)) | 75112.CD | Not for loan | 01020110075112000 |
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Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science
Successful 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
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