(1)Qinghua Ling, Wenkai Liu, Fei Han, et al. Feature selection using importance-based two-stage multi-modal multiobjective particle swarm optimization[J]. Cluster Computing, 2025, 28(2): 115.
(2)Qinghua Ling, Zexu Li, Wenkai Liu, Jinlong Shi,FeiHan, Multi-objective particle swarm optimization based on particle contribution and mutual information for feature selection method[J].Supercomputing,2025, 81: 255.
(3)Qinghua Ling, Kaimin Tan, Yuyan Wang, et al. Evolutionary extreme learning machine based on an improved MOPSO algorithm[J].Neural Computing and Applications, 2024, doi.org/10.1007/s00521-024-10578-4.
(4)An Improved Multi-Objective Particle Swarm Optimization Algorithm Based on Angle Preference. Symmetry 2022, 14, 2619. https://doi.org/10.3390/sym14122619.
(5)基于粒子群优化的深度随机神经网络,江苏科技大学学报(自然科学版),2020.01.
(6)An efficient gene selection method for microarray data based on LASSO and BPSO,BMC Bioinformatics,2019.12.
(7)An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity,Cognitive Systems Research,2019.01.
(8)一种改进的基于先验信息和微粒群算法的基因选择方法,江苏科技大学学报(自然科学版),2017.12.
(9)An Improved Ensemble of Random VectorFunctional Link Networks Based on ParticleSwarm Optimization with DoubleOptimization Strategy,PLos One,2016.11.01,11(11):e0165803.
(10)Improving the Conditioning of Extreme Learning Machine by Using Particle Swarm Optimization,JDCTA:International Journal of Digital Content Technology and its Applications20122,2012.2.01,6(2):85~93
(11)A constrained approximation algorithm by encoding second-order derivative information into feedforward neural networks,5th International Conference on Intelligent Computing, ICIC 2009,ULSAN, Korean,2009.9.16-2009.9.19.
(12)A survey on metaheuristic optimization for random single-hidden layer feedforward neural network,
Neurocomputing,2019.03.
(13)An improved hybrid self-inertia weight adaptive particle swarm optimization algorithm with local search,Engineering Optimization,2019.07.
(14)An improved evolutionary extreme learning machine based on particle swarm optimization,Neurocomputing,2013.09.20,116:87~93.