An intelligent search technique for solving Multi - Objective Optimization problems / Mohamed Fathi Goda Elsantawy ; Supervised Hegazy Mohamed Zaher , Mohamed Bayoumi Ali , Ramadan A. Zean Eldean

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Mohamed Fathi Goda Elsantawy

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TextLanguage: eng Publication details: Cairo : Mohamed Fathi Goda Elsantawy , 2009Description: 103Leaves : charts ; 30cmOther title:

أسلوب بحث ذكى لحل أمثلية المشكلات متعددة الأهداف [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Operation Research Summary: A novel scheme called Relative Divergence (RD) is introduced to maintain diversity among nondominated solutions found in the external archive during the search in Multi - Objective Problems . The new scheme is incorporated into Particle Swarm Optimization algorithm resulted in the Relative Divergence Multi - Objective Particle Swarm Optimization Approach (RD - MOPSO) proposed

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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	Cai01.18.05.M.Sc.2009.Mo.I (Browse shelf(Opens below))		Not for loan		01010110052334000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.18.05.M.Sc.2009.Mo.I (Browse shelf(Opens below))	52334.CD	Not for loan		01020110052334000

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

A novel scheme called Relative Divergence (RD) is introduced to maintain diversity among nondominated solutions found in the external archive during the search in Multi - Objective Problems . The new scheme is incorporated into Particle Swarm Optimization algorithm resulted in the Relative Divergence Multi - Objective Particle Swarm Optimization Approach (RD - MOPSO) proposed

Issued also as CD

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