WANG Jian-feng, LI Tian-bin, MA Chun-chi, et al. Gravitational search algorithm based microseismic positioning
in tunnel surrounding rock[J]. 2019, 40(11): 4421-4428.
WANG Jian-feng, LI Tian-bin, MA Chun-chi, et al. Gravitational search algorithm based microseismic positioning
in tunnel surrounding rock[J]. 2019, 40(11): 4421-4428.DOI: 10.16285/j.rsm.2018.1736.
To overcome the difficulty of deep buried tunnel microseismic source positioning and low positioning accuracy problems
a heuristic algorithm
gravitational search algorithm (GSA)
is used to in this paper to search the location. The algorithm is compared with results of the particle swarm optimization and the simplex algorithm. Research shows that
under the two and three velocity models
the gravitational search algorithm has the advantages of fast convergence and high precision over the particle swarm optimization and the simplex algorithm. The distance from the source location can be controlled within 10 m
which meets the need of tunnel construction better. For the two velocity model
the accuracy of gravitational search algorithm is 83.71 percent higher than the simplex
and 7.77 percent higher than the particle swarm optimization. For the three velocity model
the accuracy of gravitational search algorithm is 70.67 percent higher than the simplex
and 39.36 percent higher than the particle swarm optimization. Through the analysis
gravitational search algorithm (GSA) can provide a new idea for the position of micro-seismic source in deep buried tunnels.