An evolutionary analysis of ant colony optimization / Cherry Ahmed Amir ; Supervised Ibrahim Farag , Amr Badr

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Cherry Ahmed Amir

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Language: Eng Publication details: Cairo : Cherry Ahmed Amir , 2005Description: 74P : diagrs ; 30cmOther title:

التحليل التطورى لامثلية مستعمرة النمل [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: Ant colony optimization (ACO) is a meta - heuristic which uses ideas from nature to find solutions to combinatorial optimization problems , The parameter settings of the ACO algorithm determine the behavior of each ant and are critical for fast convergence to near optimal solutions of a given problem instance , The parameter settings differ from one application to another and they also differ amongst different sizes of the sam application

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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	Cai01.20.03.M.Sc.2005.Ch.E. (Browse shelf(Opens below))		Not for loan		01010110045427000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.03.M.Sc.2005.Ch.E. (Browse shelf(Opens below))	45427.CD	Not for loan		01020110045427000

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Thesis (M.Sc.) - Cairo University - Faculty Of Computers and Information - Department Of Computer Science

Ant colony optimization (ACO) is a meta - heuristic which uses ideas from nature to find solutions to combinatorial optimization problems , The parameter settings of the ACO algorithm determine the behavior of each ant and are critical for fast convergence to near optimal solutions of a given problem instance , The parameter settings differ from one application to another and they also differ amongst different sizes of the sam application

Issued also as CD

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