References

  1. X.H. Liu, C.S. Li, L. Chen, W. Xin, A review of energy-saving technologies for swing-beam extractors, J. Jilin Univ.: Eng. Ed., 51 (2021) 26.
  2. F.D. Guo, L. Fan, H.L. Gong, C.L. Sun, Status and development trend of variable speed drive and control technology of oil pumping machine, Oilfield Mach., 46 (2017) 16–19.
  3. W.X. Xie, Q.X. Su, L.Q. Guo, Z. Sun, Wear analysis of pumping cylinder-plunger friction pair based on ANSYS, Pet. Mach., 50 (2022) 115–121.
  4. X.G. Yang, X.C. Zeng, X.L. Zhang, Z.G. Wang, Development of a suspended-weight balanced swim beam pumping machine, Mach. Manuf., 59 (2021) 36–40.
  5. T.C. Cheng, M.Z. Jiang, W. Li, X. Jiang, Theoretical study and numerical simulation analysis of pumping pump valve gap flow, Pet. Mach., 47 (2019) 94–99.
  6. H.B. Wang, S.M. Dong, Q.M. Gan, H. Xin, G. Zhu, Simulation model of dynamic parameters of low-production pumping engine wells and ways to improve system efficiency, J. Pet., 39 (2018) 1299–1307.
  7. W.Y. Wang, G.Q. Wan, X.B. Lv, A new method for calculating the filling degree of rod pump based on dynamic simulation, Pet. Mach., 40 (2012) 67–71.
  8. X.F. Liu, C.H. Liu, G.Q. Liu, H.M. He, Y.G. Qi, Pump-valve motion characteristics of low-flow rate fluid flow rod pumps in horizontal wells in coal-bearing formations, J. China Univ. Pet.: Nat. Sci. Ed., 44 (2020) 141–147.
  9. Z.G. Duan, Z.M. Si, H. Ye, Q.G. Zhao, X. Ren, W. Luo, H.B. Sun, Study of plunger motion law of downhole pumping under flexible control conditions, Pet. Mach., 50 (2022) 125–130.
  10. Y.X. Lai, J. Wu, K. Wang, Optimal design of vertical vibration parameters for high-speed elevators based on multi-objective genetic algorithm, J. Jinan Univ.: Nat. Sci. Ed., 37 (2023) 108–115.
  11. H. Zeng, Q.Y. Wang, Z.H. Zhang, Multi-objective optimization of centrifugal pump genetic algorithm with pressure pulsation analysis, Manuf. Autom., 43 (2021) 118–122.
  12. Y.J. Ma, W.X. Yun, Advances in genetic algorithm research, Comput. Appl. Res., 29 (2012) 1201–1206+1210.
  13. X.L. Jin, J.J. Li, Research on multi-objective path optimization algorithm based on genetic algorithm, Comput. Technol. Dev., 28 (2018) 54–58.
  14. H.C. Zhang, L.H. Yang, An improved NSGA-II based recommendation algorithm, Comput. Eng. Des., 41 (2020) 2495–2500.
  15. J.Q. Li, G.Z. Shi, Study on the relationship between crossover rate and variation rate of genetic algorithm, J. Wuhan Univ. Technol.: Transp. Sci. Eng. Ed., 27 (2003) 97–99.
  16. A. Slowik, H. Kwasnicka, Evolutionary algorithms and their applications to engineering problems, Neural Comput. Appl., 32 (2020) 12363–12379.
  17. P. Liashchynskyi, P. Liashchynskyi, Grid search, random search, genetic algorithm: a big comparison for NAS, arXiv, (2019), abs/1912.06059.