Research on microseismic source localization based on optimized leading wolfpack algorithm

LI Xiaoyan; ZHANG Mingwei; SONG Lei; PANG Yingchun; ZHANG Jieru

doi:10.19606/j.cnki.jmst.2024.02.010

Volume 9 Issue 2

Apr. 2024

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Article Navigation > Journal of Mining Science and Technology > 2024 > 9(2): 233-242

LI Xiaoyan, ZHANG Mingwei, SONG Lei, PANG Yingchun, ZHANG Jieru. Research on microseismic source localization based on optimized leading wolfpack algorithm[J]. Journal of Mining Science and Technology, 2024, 9(2): 233-242. doi: 10.19606/j.cnki.jmst.2024.02.010

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Research on microseismic source localization based on optimized leading wolfpack algorithm

doi: 10.19606/j.cnki.jmst.2024.02.010

LI Xiaoyan^{1, 2
,},
ZHANG Mingwei^{1, 2
,
,},
SONG Lei^{1, 2},
PANG Yingchun³,
ZHANG Jieru³

1.
China University of Mining and Technology School of Mechanics and Civil Engineering, Xuzhou Jiangsu 221116, China
2.
State Key Laboratory for Geomechanics & Deep Underground Engineering, Xuzhou Jiangsu 221116, China
3.
Huaibei Mining Industry, Huaibei Anhui 235000, China

Received Date: 2023-11-10
Rev Recd Date: 2023-12-15
Publish Date: 2024-04-30

Abstract

Abstract

In order to analyze the impact of different heuristic methods on the precision of microseismic source localization, an optimized Dominant Wolf Pack Algorithm(DWPA)is proposed.This algorithm builds upon the Dominant Wolf Pack Algorithm and introduces adjustments to two parameters, namely the search step size and the siege step size, enhancing its ability to escape local optima during the search process.The effectiveness of the optimized DWPA is validated through theoretical model inversion and engineering numerical analysis.A comparative study with commonly used heuristic algorithms, Particle Swarm Optimization(PSO)and Simulated Annealing(SA), reveals that the optimized DWPA exhibits faster convergence, higher accuracy, and reduced sensitivity to P-wave velocity errors.This research provides new insights for the application of intelligent heuristic algorithms in microseismic source localization.

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References(27)

References

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Research on microseismic source localization based on optimized leading wolfpack algorithm

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