سیویلیکا را در شبکه های اجتماعی دنبال نمایید.

A genetic algorithm approach for open-pit mine production scheduling

Publish Year: 1396
Type: Journal paper
Language: English
View: 891

This Paper With 6 Page And PDF Format Ready To Download

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

Export:

Link to this Paper:

Document National Code:

JR_IJMGE-51-1_006

Index date: 24 October 2017

A genetic algorithm approach for open-pit mine production scheduling 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 article, 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 OPPS problem’s solution space. Thereupon, the fitness function is defined according to the OPPS problem’s objective function to assess the solution domain. Also, new normalization method was used for the handling of 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 efficiently in solving OPPS problem.

A genetic algorithm approach for open-pit mine production scheduling Keywords:

Open-Pit Mine , production scheduling , metaheuristic and genetic algorithm

A genetic algorithm approach for open-pit mine production scheduling authors

Aref Alipour

Department of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran

Ali Asghar khodaiari

Department of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran

Ahmad Jafari

Department of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran

Reza Tavakkoli-Moghaddam

Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran- LCFC, Arts et Métier ParisTech, Centre de Metz, France