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 :
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