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

By: Contributor(s): Language: Eng Publication details: Cairo : Cherry Ahmed Amir , 2005Description: 74P : diagrs ; 30cmOther title:
  • التحليل التطورى لامثلية مستعمرة النمل [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
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 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 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

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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