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

被引：6
|
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
  • [1] Optimization Production Scheduling of Underground Backfilling Mining Based on NSGA-II
    Yu Bao
    Yutao Wang
    Liang Zhao
    Aijuan Zhang
    [J]. Mining, Metallurgy & Exploration, 2022, 39 : 1521 - 1536
  • [2] Multi-objective Optimization Scheduling Model Based on NSGA-II Algorithm
    Bian, Ruifeng
    Tan, Wenyi
    Li, Yilun
    Hou, Yichen
    [J]. 2020 IEEE THE 3RD INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION ENGINEERING (ICECE), 2020, : 149 - 156
  • [3] The integrated optimization of underground stope layout designing and production scheduling incorporating a non-dominated sorting genetic algorithm (NSGA-II)
    Foroughi, Sorayya
    Hamidi, Jafar Khademi
    Monjezi, Masoud
    Nehring, Micah
    [J]. RESOURCES POLICY, 2019, 63
  • [4] Coordinated Warehouse Order Picking and Production Scheduling: A NSGA-II Approach
    Ardjmand, Ehsan
    Huh, Dong Wook
    [J]. 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2017,
  • [5] An improved algorithm based on NSGA-II for cloud PDTs scheduling
    Xue, Shengjun
    Liu, Fei
    Xu, Xiaolong
    [J]. Journal of Software, 2014, 9 (02) : 443 - 450
  • [6] Optimization of Drawbeads for Springback Based on RSM and NSGA-II
    Cheng, Lei
    Zhang, Wei
    Lu, Baochun
    Gong, HuiJun
    Song, Yongzheng
    [J]. MATERIALS PROCESSING TECHNOLOGIES, PTS 1 AND 2, 2011, 154-155 : 902 - +
  • [7] Optimization of Wheel Reprofiling Based on the Improved NSGA-II
    Wang, Xinghu
    Yuan, Jiabin
    Hua, Sha
    Duan, Bojia
    [J]. COMPLEXITY, 2020, 2020
  • [8] Scheduling by NSGA-II: Review and Bibliometric Analysis
    Rahimi, Iman
    Gandomi, Amir H.
    Deb, Kalyanmoy
    Chen, Fang
    Nikoo, Mohammad Reza
    [J]. PROCESSES, 2022, 10 (01)
  • [9] Scheduling optimization of a flexible manufacturing system using a modified NSGA-II algorithm
    Nidhiry, N. M.
    Saravanan, R.
    [J]. ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT, 2014, 9 (03): : 139 - 151
  • [10] NSGA-II for slab selecting and reheating furnace scheduling in hot rolling production
    Xu, Duan
    Zhang, Qi
    Lu, Chao
    Liu, Shixin
    [J]. PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 6776 - 6779
12345