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Journal:   IRANIAN JOURNAL OF MINING ENGINEERING (IRJME)   2009 , Volume 4 , Number 7; Page(s) 43 To 52.
 
Paper: 

Pit Limits Optimization Using Key Group Concept

 
 
Author(s):  Noroozi M., Jalali S.E., Yarahmadi Bafghi A.R.
 
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Abstract: 
A large number of algorithms have already been developed to optimize open pit limits based on some assumptions and constraints. Therefore, it is normal to develop new algorithms to decrease existing limitations and increase their capabilities. The key group concept, mainly used for stability slope analysis is, in this paper, used to develop a new algorithm named “KG-PLO” to optimize open pit limits. The KG-PLO is implemented on an especial type of the economic block model of the mining area. The algorithm can present the true optimal limit because it is rigorous and have a mathematical proof. Since the KG-PLO enjoys a sequential procedure, the logic iterations are not too much. The KG-PLO algorithm has been developed based on the existing 2D key group approach. It is possible to improve the proposed algorithm concerning the further improvement of the key group concept, proportionally. A computer program in Mathematica media is prepared to implement the KG-PLO algorithm.
 
Keyword(s): BLOCK THEORY, KEY GROUP, PIT LIMITS, OPEN PIT, OPTIMIZATION
 
 
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APA: Copy

NOROOZI, M., & JALALI, S., & YARAHMADI BAFGHI, A. (2009). PIT LIMITS OPTIMIZATION USING KEY GROUP CONCEPT. IRANIAN JOURNAL OF MINING ENGINEERING (IRJME), 4(7), 43-52. https://www.sid.ir/en/journal/ViewPaper.aspx?id=195964



Vancouver: Copy

NOROOZI M., JALALI S.E., YARAHMADI BAFGHI A.R.. PIT LIMITS OPTIMIZATION USING KEY GROUP CONCEPT. IRANIAN JOURNAL OF MINING ENGINEERING (IRJME). 2009 [cited 2022May22];4(7):43-52. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=195964



IEEE: Copy

NOROOZI, M., JALALI, S., YARAHMADI BAFGHI, A., 2009. PIT LIMITS OPTIMIZATION USING KEY GROUP CONCEPT. IRANIAN JOURNAL OF MINING ENGINEERING (IRJME), [online] 4(7), pp.43-52. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=195964.



 
 
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