2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.NE2023★ 1 cited
Low-discrepancy Sampling in the Expanded Dimensional Space: An Acceleration Technique for Particle Swarm Optimization
Feng Wu, Yuelin Zhao, Jianhua Pang +2
Compared with random sampling, low-discrepancy sampling is more effective in covering the search space. However, the existing research cannot definitely state whether the impact of…
math.NA2022★ 1 cited
Two Iterative algorithms for the matrix sign function based on the adaptive filtering technology
Feng Wu, Keqi Ye, Li Zhu +3
In this paper, two new efficient algorithms for calculating the sign function of the large-scale sparse matrix are proposed by combining filtering algorithm with Newton method and…
cs.NE2022★ 2 cited
Updating velocities in heterogeneous comprehensive learning particle swarm optimization with low-discrepancy sequences
Yuelin Zhao, Feng Wu, Jianhua Pang +1
Heterogeneous comprehensive learning particle swarm optimization (HCLPSO) is a type of evolutionary algorithm with enhanced exploration and exploitation capabilities. The low-discr…