Best selection for the parameters of fractional-order particle swarm optimizer

摘要

This study rewrote a fractional-order particle swarm optimizer algorithmic equation and used an improved uniform design method (IUDM) to find the best combination for parameters of FPSO. Compared to PSO, FPSO makes a high convergence rate. In the improved FPSO, there are 4 parameters to influence effectiveness. Uniform design is an experimental method and suitable for multiple parameters and multiple level experiments. IUDM is improved from uniform design method as per using the best combination strategy and a stepwise ratio. And then, IUDM is used to find the best combination for parameter values of FPSO. In the experiments, some test functions are used to find the best combination for parameter values by using IUDM and also verify the effectiveness of the improved FPSO. From the results, the best combination for parameter values of FPSO can be obtain by IUDM and the proposed FPSO obtain the better performance than PSO and original FPSO according the best combination.