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
相关论文
共 50 条
  • [31] Multi-objective Drilling Trajectory Optimization Based on NSGA-II
    Huang, Wendi
    Wu, Min
    Cheng, Jun
    Chen, Xin
    Cao, Weihua
    Hu, Yule
    Gao, Hui
    2017 11TH ASIAN CONTROL CONFERENCE (ASCC), 2017, : 1234 - 1239
  • [32] NSGA-II based high gain observer improved optimization method
    Daldoul, Ines
    Tlili, Ali Sghaier
    PROCEEDINGS OF THE 2022 5TH INTERNATIONAL CONFERENCE ON ADVANCED SYSTEMS AND EMERGENT TECHNOLOGIES IC_ASET'2022), 2022, : 387 - 392
  • [33] Optimization Method for Digital Twin Manufacturing System Based on NSGA-II
    Ding, Yu
    Li, Longhua
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (04) : 983 - 993
  • [34] Multiobjective Optimization of Multistage Synchronous Induction Coilgun Based on NSGA-II
    Niu, Xiaobo
    Liu, Kaipei
    Zhang, Yadong
    Xiao, Gang
    Gong, Yujia
    IEEE TRANSACTIONS ON PLASMA SCIENCE, 2017, 45 (07) : 1622 - 1628
  • [35] Optimization model of underground mining production scheduling with grade uncertainty
    Huang S.-W.
    Hu N.
    Li G.-Q.
    Hou J.
    Zhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals, 2020, 30 (12): : 2996 - 3005
  • [36] Optimization of an appointment scheduling problem for healthcare systems based on the quality of fairness service using whale optimization algorithm and NSGA-II
    Ala, Ali
    Alsaadi, Fawaz E.
    Ahmadi, Mohsen
    Mirjalili, Seyedali
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [37] Multi-objective optimization model for blast furnace production and ingredients based on NSGA-II algorithm
    Hua C.
    Wang Y.
    Li J.
    Tang Y.
    Lu Z.
    Guan X.
    Huagong Xuebao/CIESC Journal, 2016, 67 (03): : 1040 - 1047
  • [38] Multi-objective Optimization of Resource Scheduling in Fog Computing Using an Improved NSGA-II
    Sun, Yan
    Lin, Fuhong
    Xu, Haitao
    WIRELESS PERSONAL COMMUNICATIONS, 2018, 102 (02) : 1369 - 1385
  • [39] Multi-objective Optimization of Resource Scheduling in Fog Computing Using an Improved NSGA-II
    Yan Sun
    Fuhong Lin
    Haitao Xu
    Wireless Personal Communications, 2018, 102 : 1369 - 1385
  • [40] Improved NSGA-II Algorithm for Optimization of Constrained Functions
    Zhang, Yun
    Jiao, Bin
    PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2018), 2018, 127 : 316 - 319
12345