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New proposed techniques for optimum pit limit heuristic algorithms and software development / Mohamed Mohy Mohamed Saad Elkarmouty ; Supervised Mohamed Ali Elwageeh , Ahmed Abdelaziz Ahmed , Yasser Mahmoud Elshayeb

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohamed Mohy Mohamed Saad Elkarmouty , 2013Description: 221 P. : charts , facsimiles , maps ; 30cmOther title:
  • اساليب جديدة مقترحة فى الطرق الاستكشافية لتصميم المناجم الكشوفة وتطوير حزمة برامج [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering Summary: The state of the art in optimum pit limit algorithms was concluded as a result to detailed survey on the optimum pit limit algorithms. Asuggested two dimensional optimum pit limit heuristic algorithms - one three / one two 13/12 - has been presented . The methodology of 13/12 and its search pattern were illustrated in deep to show how 13/12 is a successful trial to maximize the net value
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.12.M.Sc.2013.Mo.N (Browse shelf(Opens below)) Not for loan 01010110062080000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.12.M.Sc.2013.Mo.N (Browse shelf(Opens below)) 62080.CD Not for loan 01020110062080000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering

The state of the art in optimum pit limit algorithms was concluded as a result to detailed survey on the optimum pit limit algorithms. Asuggested two dimensional optimum pit limit heuristic algorithms - one three / one two 13/12 - has been presented . The methodology of 13/12 and its search pattern were illustrated in deep to show how 13/12 is a successful trial to maximize the net value

Issued also as CD

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