2 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
Expected geoneutrino signal at JUNO using local integrated 3-D refined crustal model
Ran Han, ZhiWei Li, Ruohan Gao +11
Geoneutrinos serve as a potent tool for comprehending the radiogenic power and composition of Earth. Although geoneutrinos have been observed in prior experiments, the forthcoming…
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…
New Solution based on Hodge Decomposition for Abstract Games
Yihao Luo, Jinhui Pang, Weibin Han +1
This paper proposes Hodge Potential Choice (HPC), a new solution for abstract games with irreflexive dominance relations. This solution is formulated by involving geometric tools l…