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Content Provider | IEEE Xplore Digital Library |
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Author | Bo Wang Yunlong Dong CanLin Wang QinLin Qu |
Copyright Year | 2006 |
Description | Author affiliation: Naval Aeronaut. Eng. Inst., Yantai (Bo Wang; Yunlong Dong; CanLin Wang) |
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 |
Starting Page | 4 |
Ending Page | 315 |
File Size | 3289607 |
Page Count | 312 |
File Format | |
ISBN | 0780393953 |
DOI | 10.1109/ISSCAA.2006.1627634 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-01-19 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Optimization methods Radar Gaussian processes Birds Particle swarm optimization Newton method Least squares methods Aerospace engineering Recursive estimation |
Content Type | Text |
Resource Type | Article |
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