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Adaptive fuzzy particle swarm optimization

version 1.0.0 (9.1 KB) by dong liu
adaptive fuzzy particle swarm optimization for system parameter identification

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Updated 15 Jan 2021

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In order to realize an adaptive parameter tuning of heuristic optimization algorithm, to
avoid the algorithm falling into the local optimum, and to improve the accuracy of the algorithm
to solve the parameter identification problem, an adaptive fuzzy particle swarm optimization
(AFPSO) is proposed to improve the basic algorithm from three aspects of automatic tuning in
parameters, population topologies and mutation characteristics.

Cite As

Liu, Dong, et al. “Accurate Parameter Estimation of a Hydro-Turbine Regulation System Using Adaptive Fuzzy Particle Swarm Optimization.” Energies, vol. 12, no. 20, MDPI AG, Oct. 2019, p. 3903, doi:10.3390/en12203903.

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Comments and Ratings (2)

liu winter

liu winter

Good job!

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
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