2 citations · 3 across the 4 of their papers we have counts for
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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…
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…