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

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Latest update: 22 Nov 2024
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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.