Articles | Volume 26, issue 3
https://doi.org/10.5194/npg-26-163-2019
https://doi.org/10.5194/npg-26-163-2019
Research article
 | 
15 Jul 2019
Research article |  | 15 Jul 2019

The adaptive particle swarm optimization technique for solving microseismic source location parameters

Hong-Mei Sun, Jian-Zhi Yu, Xing-Li Zhang, Bin-Guo Wang, and Rui-Sheng Jia

Viewed

Total article views: 2,204 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,410 736 58 2,204 59 44
  • HTML: 1,410
  • PDF: 736
  • XML: 58
  • Total: 2,204
  • BibTeX: 59
  • EndNote: 44
Views and downloads (calculated since 02 Apr 2019)
Cumulative views and downloads (calculated since 02 Apr 2019)

Viewed (geographical distribution)

Total article views: 2,204 (including HTML, PDF, and XML) Thereof 1,875 with geography defined and 329 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
An adaptive PSO optimization method is proposed based on the average population velocity in order to solve for location parameters of the seismic source in a location model. Combined with the actual need to solve for seismic source parameters, the model constraints of inertia weight, accelerating constants, the maximum flight velocity of particles, and other parameters are discussed in order to improve the optimization capacity of the PSO algorithm and avoid being trapped in a local optimum.