Contributions to ant algorithms for solving optimization problems / Nadia Abdelalsabour ; Supervised Atef Moneim
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- مساهمات فى خوارزميات النمل لحل مشكلات الامثلية [Added title page title]
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.02.Ph.D.2013.Na.C (Browse shelf(Opens below)) | Not for loan | 01010110061695000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.02.Ph.D.2013.Na.C (Browse shelf(Opens below)) | 61695.CD | Not for loan | 01020110061695000 |
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Cai01.18.02.Ph.D.2012.Ta.N A novel approach for quantum particle swarm optimization / | Cai01.18.02.Ph.D.2013.As.I Improving forecasting models using computational intelligence approach / | Cai01.18.02.Ph.D.2013.As.I Improving forecasting models using computational intelligence approach / | Cai01.18.02.Ph.D.2013.Na.C Contributions to ant algorithms for solving optimization problems / | Cai01.18.02.Ph.D.2013.Na.C Contributions to ant algorithms for solving optimization problems / | Cai01.18.02.Ph.D.2014.Ah.N A novel Modular form of rough decision models / | Cai01.18.02.Ph.D.2014.Ah.N A novel Modular form of rough decision models / |
Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Sciences
Ant algorithms depend on the idea of synergistic use of cooperation among many relatively simple agents which communicate by distributed memory . There are several approaches that have been proposed to simulate the behaviour of real ants. Among such approaches, ant colony system comes as the most successful one
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