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/spl I.bar/PSO is introduced with concept of multi-velocity and speed coefficient. Its application to radar-network proves that MV/spl I.bar/PSO is useful. Compared with standard PSO, MV/spl I.bar/PSO has better global optimal capability with faster evolution speed and higher accuracy. Compared with traditional Gauss-Newton, MV/spl I.bar/PSO is clearer and simpler to use.
A new particle swarm optimizer algorithm and application
01.01.2006
3289607 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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