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An ant colony optimization approach for solving shortest path problem with fuzzy constraints / Ahmed Abdelhamied Abdelaziz Zakzouk ; Supervised Hegazy Mohamed Zaher , Ramadan Abdelhamied Zean Eldeen

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Abdelhamied Abdelaziz Zakzouk , 2010Description: 129 Leaves : charts ; 30cmOther title:
  • حل مشكلة المسار الأقصر ذات القيود المبهمة باستخدام منهجية مستعمرة النمل [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Operation Research Summary: This thesis presents an ant colony optimization approach ( ACO ) to solve the shortest path problem, especially with fuzzy constraints; this thesis consists of five chapters as follows: in chapter one we introduce an introduction, summary and review of literature, in chapter two we handle the shortest path problem in details, in chapter three an ant colony optimization approach is introduced as a methodology for solving the shortest path problem, in chapter four we introduce an introduction on fuzzy sets, definitions, formulation algorithms, in chapter five we introduce the supposed algorithm and we have got two empirical formulas which give the best convergence to the optimal solution
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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 Cai01.18.05.M.Sc.2010.Ah.A (Browse shelf(Opens below)) Not for loan 01010110054784000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.05.M.Sc.2010.Ah.A (Browse shelf(Opens below)) 54784.CD Not for loan 01020110054784000

Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Operation Research

This thesis presents an ant colony optimization approach ( ACO ) to solve the shortest path problem, especially with fuzzy constraints; this thesis consists of five chapters as follows: in chapter one we introduce an introduction, summary and review of literature, in chapter two we handle the shortest path problem in details, in chapter three an ant colony optimization approach is introduced as a methodology for solving the shortest path problem, in chapter four we introduce an introduction on fuzzy sets, definitions, formulation algorithms, in chapter five we introduce the supposed algorithm and we have got two empirical formulas which give the best convergence to the optimal solution

Issued also as CD

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