کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6922442 | 865031 | 2016 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Integrating geological uncertainty in long-term open pit mine production planning by ant colony optimization
ترجمه فارسی عنوان
یکپارچه سازی عدم قطعیت زمین شناسی در برنامه ریزی تولید معادن گنجایش بلند مدت با بهینه سازی کلون های مورچه
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کلمات کلیدی
معدن گودال باز، برنامه ریزی، عدم اطمینان درجه متا اورویری، بهینه سازی کلینیک مورچه،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Meeting production targets in terms of ore quantity and quality is critical for a successful mining operation. In-situ grade uncertainty causes both deviations from production targets and general financial deficits. A new stochastic optimization algorithm based on ant colony optimization (ACO) approach is developed herein to integrate geological uncertainty described through a series of the simulated ore bodies. Two different strategies were developed based on a single predefined probability value (Prob) and multiple probability values(Probnt), respectively in order to improve the initial solutions that created by deterministic ACO procedure. Application at the Sungun copper mine in the northwest of Iran demonstrate the abilities of the stochastic approach to create a single schedule and control the risk of deviating from production targets over time and also increase the project value. A comparison between two strategies and traditional approach illustrates that the multiple probability strategy is able to produce better schedules, however, the single predefined probability is more practical in projects requiring of high flexibility degree.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 87, February 2016, Pages 31-40
Journal: Computers & Geosciences - Volume 87, February 2016, Pages 31-40
نویسندگان
Seyed-Omid Gilani, Javad Sattarvand,