Search Results for author: Wanxie Zhong

Found 2 papers, 0 papers with code

Low-discrepancy Sampling in the Expanded Dimensional Space: An Acceleration Technique for Particle Swarm Optimization

no code implementations6 Mar 2023 Feng Wu, Yuelin Zhao, Jianhua Pang, Jun Yan, Wanxie Zhong

The acceleration technique can generate a low-discrepancy sample set with a smaller dispersion, compared with a random sampling, in the expanded dimensional space; it also reduces the error at each iteration, and hence improves the convergence speed.

Updating velocities in heterogeneous comprehensive learning particle swarm optimization with low-discrepancy sequences

no code implementations20 Sep 2022 Yuelin Zhao, Feng Wu, Jianhua Pang, Wanxie Zhong

Heterogeneous comprehensive learning particle swarm optimization (HCLPSO) is a type of evolutionary algorithm with enhanced exploration and exploitation capabilities.

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