Title :
Particle Swarm Optimization and its application in acoustic source localization
Author_Institution :
Dept. of Math. & Comput. Sci., Fuqing Branch of Fujian Normal Univ., Fuqing, China
Abstract :
This paper is concerned with a numerical scheme to the inverse source problem, called Particle Swarm Optimization(PSO), which is a population-based stochastic optimization method. It is based on the simulation of the social behavior of birds within a flock. Application to the acoustic source localization (ASL) with two and three sources is discussed. Compared with parallel optimization and other methods, it shows that it has high accuracy and low cost.
Keywords :
acoustic radiators; inverse problems; numerical analysis; particle swarm optimisation; stochastic processes; stochastic programming; ASL; PSO; acoustic source localization; inverse source problem; numerical scheme; particle swarm optimization; population-based stochastic optimization method; Accuracy; Acoustics; Equations; Mathematical model; Numerical models; Sociology; Statistics;
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
DOI :
10.1109/ICNC.2014.6975848
