Optimal strategy parameters for particle swarm optimizer via the uniform design
Shuo-Qin Lu, Jyh‐Horng Chou · 2016
In modern science, particle swarm optimizer (PSO), a nature-inspired algorithm, can be applied to find the optimal solutions for the complex problems. But, how to effectively find the parameters in the PSO is a worthy studying problem. In this paper, the uniform design approach is applied to finding optimal parameters of the PSO. Finally, the effectiveness of the proposed method is illustrated by example.