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…
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…
Relationship between low-discrepancy sequence and static solution to multi-bodies problem
Feng Wu, Yuelin Zhao, Ke Zhao +1
The main interest of this paper is to study the relationship between the low-discrepancy sequence and the static solution to the multi-bodies problem in high-dimensional space. An…
Incentivizing Truthful Reporting from Strategic Sensors in Dynamical Systems
Yuelin Zhao, Roy Dong
Human agents are increasingly serving as data sources in the context of dynamical systems. Unlike traditional sensors, humans may manipulate or omit data for selfish reasons. There…