Conference Proceeding

A Multi-population Particle Swarm Optimizer and its Application to Blind Multichannel Estimation

Guangzhou Univ., Guangzhou;
09/2007; DOI:10.1109/ICNC.2007.72 ISBN: 978-0-7695-2875-5 pp.654-658 In proceeding of: Natural Computation, 2007. ICNC 2007. Third International Conference on, Volume: 4
Source: IEEE Xplore

ABSTRACT In this paper, a multi-population particle swarm optimizer based on Lotka-Volterra competition equation is first proposed. The cooperative coevolution in the field of is involved into original particle swarm optimizer, and populations size is adjusted adaptively based on multi- population Lotka-Volterra competition equation. Then, the algorithm is applied to blind multichannel estimation by optimizing an error function for the outputs of a multichannel system. The experiment results demonstrate that the proposed algorithm is superior to original particle swarm optimization algorithm, and is effective to blind multichannel estimation.

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Keywords

blind multichannel estimation
 
cooperative coevolution
 
error function
 
experiment results
 
multi-population particle swarm optimizer
 
multichannel system
 
original particle swarm optimization algorithm
 
original particle swarm optimizer
 
populations size