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003 EG-GiCUC
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008 130106s2012 ua d f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aPh.D
099 _aCai01.20.02.Ph.D.2012.As.H
100 0 _aAshraf Farouk Sayed Ahmed Heikal
245 1 2 _aA hybrid intelligent approach to solve multiple-choice problems /
_cAshraf Farouk Sayed Ahmed Heikal ; Supervised Mohammed Hassan Rasmy , Assem Abdelfatah Tharwat , Mohammed Adel Elbeltagy
246 1 5 _aطريقة مهجنة ذكيه لحل المشاكل متعددة الاختيارات
260 _aCairo :
_bAshraf Farouk Sayed Ahmed Heikal ,
_c2012
300 _a171 Leaves :
_bcharts ;
_c30cm
502 _aThesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Operation Research and Decision Support
520 _aMultiple choice problems (MCPs) belong to a class of combinatorial problems with a requirement to choose, among several possible combinations, an alternative to optimize an objective function and, at the same time, satisfy a set of constraints. This research focuses on the multiple-choice multidimensional knapsack problem (MMKP) which could be seen as a multiple choice mixed integer programming (MCIP) problem
530 _aIssued also as CD
653 4 _aKanapsack problem
653 4 _aMultiple-choice multidimensional
653 4 _aMultiple-choice problems
700 0 _aAssem Abdelfatah Tharwat ,
_eSupervisor
700 0 _aMohammed Adel Elbeltagy ,
_eSupervisor
700 0 _aMohammed Hassan Rasmy ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aSamia
_eCataloger
942 _2ddc
_cTH
999 _c40926
_d40926