Optimization Production Scheduling of Underground Backfilling Mining Based on NSGA-II

被引：7
|
作者：
Bao, Yu [1 ,2 ]
Wang, Yutao [1 ]
Zhao, Liang [3 ]
Zhang, Aijuan [1 ,2 ]
机构：
[1] China Univ Min & Technol, Dept Comp Sci & Technol, Daxue Rd, Xuzhou 221116, Jiangsu, Peoples R China
[2] China Univ Min & Technol, Mine Digitizat Engn Res Ctr, Minist Educ Peoples Republ China, Daxue Rd, Xuzhou 221116, Jiangsu, Peoples R China
[3] China Univ Min & Technol, Sch Mine, Daxue Rd, Xuzhou 221116, Jiangsu, Peoples R China
来源：
MINING METALLURGY & EXPLORATION | 2022年 / 39卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Underground mine production scheduling; Underground backfilling mine; Non-dominated sorting genetic algorithm II (NSGA-II); Multi-objective integer programming;
D O I：
10.1007/s42461-022-00606-z
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
In the green backfilling mining of underground coal mines, gangue in a coal seam is used to replace and fill goafs. However, the gas drainage time changes in the amount of gangue output and order in the extraction sequence of stope blocks, thereby changing the production output. A multi-objective integer programming model was proposed to solve this based on an improved non-dominated sorting genetic algorithm. The results show a feasible gangue filling rate can be found and the extraction sequence for a long-term planning time is optimized. It increases the planned annual output by 26% and reduces equipment idle time.
引用
收藏
页码：1521 / 1536
页数：16
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