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Paper Information

Journal:   INTERNATIONAL JOURNAL OF MINING AND GEO-ENGINEERING   2017 , Volume 51 , Number 1; Page(s) 47 To 52.
 
Paper: 

A GENETIC ALGORITHM APPROACH FOR OPEN-PIT MINE PRODUCTION SCHEDULING

 
 
Author(s):  ALIPOUR AREF*, KHODAIARI ALI ASGHAR, JAFARI AHMAD, TAVAKKOLI MOGHADDAM REZA
 
* DEPARTMENT OF MINING ENGINEERING, COLLEGE OF ENGINEERING, UNIVERSITY OF TEHRAN, TEHRAN, IRAN
 
Abstract: 

In an Open-Pit Production Scheduling (OPPS) problem, the goal is to determine the mining sequence of an orebody as a block model. In this paper, linear programing formulation is used to aim this goal. OPPS problem is known as an NP-hard problem, so an exact mathematical model cannot be applied to solve in the real state. Genetic Algorithm (GA) is a well-known member of evolutionary algorithms that widely are utilized to solve NP-hard problems. Herein, GA is implemented in a hypothetical Two-Dimensional (2D) copper orebody model. The orebody is featured as two-dimensional (2D) array of blocks. Likewise, counterpart 2D GA array was used to represent the solution space of an OPPS problem. Thereupon, the fitness function is defined according to the OPPS problem objective function to assess the solution domain. Also, new normalization method was used to handle the block sequencing constraint. A numerical study is performed to compare the solutions of the exact and GA-based methods. It is shown that the gap between GA and the optimal solution by the exact method is less than % 5; hereupon GA is found to be efficient in solving OPPS problem.

 
Keyword(s): OPEN-PIT MINE, PRODUCTION SCHEDULING, METAHEURISTICS AND GENETIC ALGORITHM
 
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