DocumentCode
3344551
Title
Application of Particle Swarm Optimization to Seismic Location
Author
Han Dong-xue ; Wang Gai-Yun
Author_Institution
Sch. of Comput. & Control, Guilin Univ. of Electron. & Technol., Guilin, China
fYear
2009
fDate
14-17 Oct. 2009
Firstpage
641
Lastpage
644
Abstract
The particle swarm optimization (PSO) is an adaptive optimization based on swarm intelligence. The basic principle and the method of it being used in seismic location were introduced. To get a more accurate result, the objective function is the residual square sum of the observational travel-time and theoretical travel-time of the same earthquake return two stations. Compared with Genetic Algorithm on Seismic Location, PSO, after numerous experiments, proved its distinct superiority to locate the hypocenter more quickly and accurately. PSO is potentially useful for seismic location.
Keywords
earthquakes; geophysical techniques; particle swarm optimisation; seismic waves; seismology; PSO; adaptive optimization; earthquake travel-time; genetic algorithm; particle swarm optimization; seismic location; seismology; swarm intelligence; Adaptive control; Application software; Birds; Computer applications; Earthquakes; Genetic algorithms; Optimization methods; Particle swarm optimization; Programmable control; Seismology; double-difference; genetic algorithm; particle swarm optimization; seismic location;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location
Guilin
Print_ISBN
978-0-7695-3899-0
Type
conf
DOI
10.1109/WGEC.2009.48
Filename
5402755
Link To Document