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

By:

Sally Mohamed Fathy Mohamed Hamouda

Contributor(s):

Magda Bahaa Eldeen Fayek []

Material type: Text

TextLanguage: 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	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	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

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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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