Pit Limits Optimization Using Key Group Concept

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.