Multi-Objective Optimization for Metal Mine Production Technical Indicators with NSGA-II and ANN Algorithms

@inproceedings{Wang2018MultiObjectiveOF,
  title={Multi-Objective Optimization for Metal Mine Production Technical Indicators with NSGA-II and ANN Algorithms},
  author={Xunhong Wang and Xiaowei Gu and Q. Wang and X. Xu and Minggui Zheng},
  year={2018}
}
  • Xunhong Wang, Xiaowei Gu, +2 authors Minggui Zheng
  • Published 2018
  • Computer Science
  • Indicators with NSGA-II and ANN Algorithms Xunhong Wang1, Xiaowei Gu1,*, Qing Wang1, Xiaochuan Xu1, Minggui Zheng2 1 School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China; 2 Research Center of Mining Trade and Investment, Jiangxi University of Science and Technology, Ganzhou 341000, China; * Correspondence: 631092969@qq.com Abstract: The selection of the best mine production technical indicators is crucial to increasing a mine’s economic benefit and saving… CONTINUE READING

    References

    SHOWING 1-10 OF 39 REFERENCES
    Intelligent integrated optimization of mining and ore-dressing grades in metal mines
    • 5
    Multiobjective Production Planning Optimization Using Hybrid Evolutionary Algorithms for Mineral Processing
    • 52
    Multi-objective optimization method using an improved NSGA-II algorithm for oil–gas production process
    • 25
    Multi-objective process parameters optimization of Laser-magnetic hybrid welding combining Kriging and NSGA-II
    • 12
    Optimization of friction stir welding process using NSGA-II and DEMO
    • 6
    Cutoff grade optimization in open pit mines using genetic algorithm
    • 20