Adaptive fuzzy particle swarm optimization

Version 2.0.0 (8.69 KB) by dong liu
adaptive fuzzy particle swarm optimization for system parameter identification and other optimization problems.
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Updated Sat, 24 Jul 2021 08:38:53 +0000

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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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Created with R2014a
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Version Published Release Notes
2.0.0

a simplified version

1.0.0