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International Journal of Mining and Geo-Engineering، جلد ۵۱، شماره ۱، صفحات ۴۷-۵۲
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عنوان انگلیسی A genetic algorithm approach for open-pit mine production scheduling
چکیده انگلیسی مقاله 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.
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نویسندگان مقاله عارف علیپور |
school of mining engineering, college of engineering, university of tehran, tehran, iran
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

علی اصغر khodaiari | ali asghar
school of mining engineering, college of engineering, university of tehran, tehran, iran.
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

احمد جعفری |
school of mining engineering, college of engineering, university of tehran, tehran, iran.
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

رضا توکلی مقدم | tavakkoli moghaddam
school of industrial engineering amp;amp; engineering optimization research group, college of engineering, university of tehran, tehran, iran.
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

نشانی اینترنتی http://ijmge.ut.ac.ir/article_62152_e987c089512757a205f5d557125ecb37.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/421/article-421-413557.pdf
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زبان مقاله منتشر شده en
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