A hybrid computational intelligent approach to solve project scheduling problems / Elshimaa Ahmed Ramadan Ibrahim Elgendi ; Supervised Mohamed Hassan Rasmy , Omar Soliman Soliman

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Elshimaa Ahmed Ramadan Ibrahim Elgendi

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TextLanguage: English Publication details: Cairo : Elshimaa Ahmed Ramadan Ibrahim Elgendi , 2015Description: 146 Leaves : charts ; 25cmOther title:

أسلوب حسابى ذكى مهجن لحل مشاكل جدولة المشروعِ [Added title page title]

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Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Operations Research and Decision Support Summary: Multi-mode resource-constrained project scheduling problem (MRCPSP) is one of the most important problems in the context of project scheduling. MRCPSP is a notoriously difficult problem in combinatorial optimization for which extensive investigation has been devoted to the development of efficient algorithms to find optimal or near-optimal solutions [7, 25, 30, 45]. Estimation of Distribution Algorithms (EDAs) are some of the most powerful evolutionary algorithms (EAs). The first motivation behind the emergence of EDAs, is to identify and exploit the linkage between variables in the solution in order to assist the evolution. Unlike other EAs, EDAs do not use crossover or mutation. Instead, they explicitly extract global statistical information from the previous search and build a posterior probability model of promising solutions, based on the extracted information

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Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.02.Ph.D.2015.El.H (Browse shelf(Opens below))		Not for loan	01010110067762000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.02.Ph.D.2015.El.H (Browse shelf(Opens below))	67762.CD	Not for loan	01020110067762000

Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Operations Research and Decision Support

Multi-mode resource-constrained project scheduling problem (MRCPSP) is one of the most important problems in the context of project scheduling. MRCPSP is a notoriously difficult problem in combinatorial optimization for which extensive investigation has been devoted to the development of efficient algorithms to find optimal or near-optimal solutions [7, 25, 30, 45]. Estimation of Distribution Algorithms (EDAs) are some of the most powerful evolutionary algorithms (EAs). The first motivation behind the emergence of EDAs, is to identify and exploit the linkage between variables in the solution in order to assist the evolution. Unlike other EAs, EDAs do not use crossover or mutation. Instead, they explicitly extract global statistical information from the previous search and build a posterior probability model of promising solutions, based on the extracted information

Issued also as CD

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