Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Zhong, Wanxie"'
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 a low-discrepancy sample on particle swarm optimization (PSO) is posi
Externí odkaz:
http://arxiv.org/abs/2303.03055
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 Newton Schultz method respectively. Through the theoretical analysis o
Externí odkaz:
http://arxiv.org/abs/2210.03356
Heterogeneous comprehensive learning particle swarm optimization (HCLPSO) is a type of evolutionary algorithm with enhanced exploration and exploitation capabilities. The low-discrepancy sequence (LDS) is more uniform in covering the search space tha
Externí odkaz:
http://arxiv.org/abs/2209.09438
The objective of this research was to compute the principal matrix square root with sparse approximation. A new stable iterative scheme avoiding fully matrix inversion (SIAI) is provided. The analysis on the sparsity and error of the matrices involve
Externí odkaz:
http://arxiv.org/abs/2206.10346
Publikováno v:
In International Journal of Mechanical Sciences 1 October 2024 279
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 assumption that the static solution to the multi-bodies problem is a l
Externí odkaz:
http://arxiv.org/abs/2110.03918
Publikováno v:
In Annals of Nuclear Energy January 2024 195
Publikováno v:
In Mathematics and Computers in Simulation October 2023 212:524-547
Publikováno v:
In Annals of Nuclear Energy 15 September 2023 190
Publikováno v:
In Annals of Nuclear Energy 15 December 2022 179