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Enhancing multi-objective optimization using genetic programming / Ayman Abdelghaffar Rashad Mohamed Elkasaby ; Supervised Akram Ibrahim Salah

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ayman Abdelghaffar Rashad Mohamed Elkasaby , 2017Description: 87 Leaves : charts ; 30cmOther title:
  • تعزيزالأمثلية المتعددة الاهداف باستخدام البرمجة الجينية [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: 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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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis 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
CD - Rom CD - Rom 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

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

Issued also as CD

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