DocumentCode :
1871705
Title :
A new particle swarm optimizer algorithm and application
Author :
Wang, Bo ; Dong, Yunlong ; Wang, CanLin ; Qu, QinLin
Author_Institution :
Naval Aeronaut. Eng. Inst., Yantai
fYear :
2006
fDate :
19-21 Jan. 2006
Lastpage :
315
Abstract :
Particle swarm optimizer (PSO) is an intelligent algorithm which simulates the hunting activity of the group of birds. It´s very clear, easy-defined, simple-operation and realizable. It can be used in radar-network to solve the program of radar system error. However, PSO is one of probability optimizer with premature phenomenon which makes it impossible for PSO to be guaranteed the global optimization solution to converge. The solutions used now have much shortage, so MV_PSO is introduced with concept of multi-velocity and speed coefficient. Its application to radar-network proves that MV_PSO is useful. Compared with standard PSO, MV_PSO has better global optimal capability with faster evolution speed and higher accuracy. Compared with traditional Gauss-Newton, MV_PSO is clearer and simpler to use
Keywords :
particle swarm optimisation; global optimization solution; hunting activity; multivelocity PSO; particle swarm optimizer algorithm; probability optimizer; radar system error; radar-network; Aerospace engineering; Birds; Gaussian processes; Least squares methods; Newton method; Optimization methods; Particle swarm optimization; Radar; Recursive estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
Conference_Location :
Harbin
Print_ISBN :
0-7803-9395-3
Type :
conf
DOI :
10.1109/ISSCAA.2006.1627634
Filename :
1627634
Link To Document :
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