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An adaptive aging operator for genetic algorithms - based compiler optimization / Sally Mohamed Fathy Mohamed Hamouda ; Supervised Magda B. Fayek

By: Contributor(s): Material type: TextTextLanguage: eng Publication details: Cairo : Sally Mohamed Fathy Mohamed Hamouda , 2010Description: 71P. : charts ; 30cmOther title:
  • مشغل عمرى متكيف لترشيد المترجمات بإستخدام الخوارزميات الجينية [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: This thesis presents a novel adaptive aging operator for genetic algorithm was proposed (AdAGA algorithm ) . The main aim of introducing this operator is to maintain diversity in the population and prevent GA from getting stuck at local optimum . AdAGA algorithm was tested on three benchmark optimization functions it was found that it is better than other algorithms as it converges faster than simple genetic algorithm
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2010.Sa.A (Browse shelf(Opens below)) Not for loan 01010110052781000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2010.Sa.A (Browse shelf(Opens below)) 52781.CD Not for loan 01020110052781000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

This thesis presents a novel adaptive aging operator for genetic algorithm was proposed (AdAGA algorithm ) . The main aim of introducing this operator is to maintain diversity in the population and prevent GA from getting stuck at local optimum . AdAGA algorithm was tested on three benchmark optimization functions it was found that it is better than other algorithms as it converges faster than simple genetic algorithm

Issued also as CD

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