Qing-Hua Ling
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO.
Neural Process. Lett., April, 2024
2023
A many-objective optimization evolutionary algorithm based on hyper-dominance degree.
Swarm Evol. Comput., December, 2023
A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection.
Appl. Intell., September, 2023
An improved algorithm for small object detection based on YOLO v4 and multi-scale contextual information.
Comput. Electr. Eng., January, 2023
A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization.
Intell. Data Anal., 2023
An improved feature selection method based on angle-guided multi-objective PSO and feature-label mutual information.
Appl. Intell., 2023
2022
An Improved Multi-Objective Particle Swarm Optimization Algorithm Based on Angle Preference.
Symmetry, 2022
A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems.
Swarm Evol. Comput., 2022
Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP.
Neural Comput. Appl., 2022
A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network.
Connect. Sci., 2022
An improved multiobjective particle swarm optimization algorithm based on tripartite competition mechanism.
Appl. Intell., 2022
2021
Multi-objective particle swarm optimization with adaptive strategies for feature selection.
Swarm Evol. Comput., 2021
Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search.
Inf. Sci., 2021
An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm.
Connect. Sci., 2021
An enhanced class topper algorithm based on particle swarm optimizer for global optimization.
Appl. Intell., 2021
2020
Efficient network architecture search via multiobjective particle swarm optimization based on decomposition.
Neural Networks, 2020
Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems.
Connect. Sci., 2020
2019
A survey on metaheuristic optimization for random single-hidden layer feedforward neural network.
Neurocomputing, 2019
An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity.
Cogn. Syst. Res., 2019
BMC Bioinform., 2019
An Improved Hybrid Method Combining Gravitational Search Algorithm With Dynamic Multi Swarm Particle Swarm Optimization.
IEEE Access, 2019
2018
An Improved Multiobjective Quantum-Behaved Particle Swarm Optimization Based on Double Search Strategy and Circular Transposon Mechanism.
Complex., 2018
An Improved Double Hidden-Layer Variable Length Incremental Extreme Learning Machine Based on Particle Swarm Optimization.
Proceedings of the Intelligent Computing Theories and Application, 2018
An Improved Evolutionary Extreme Learning Machine Based on Multiobjective Particle Swarm Optimization.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
2017
A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
An improved incremental constructive single-hidden-layer feedforward networks for extreme learning machine based on particle swarm optimization.
Neurocomputing, 2017
An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity.
Proceedings of the Intelligent Computing Theories and Application, 2017
2016
An Improved Ensemble Extreme Learning Machine Based on ARPSO and Tournament-Selection.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016
2015
A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2013
An improved evolutionary extreme learning machine based on particle swarm optimization.
Neurocomputing, 2013
2011
Proceedings of the Bio-Inspired Computing and Applications, 2011
2010
An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks.
Neural Comput. Appl., 2010
2009
A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
2008
Modified constrained learning algorithms incorporating additional functional constraints into neural networks.
Inf. Sci., 2008
A new approach for function approximation incorporating adaptive particle swarm optimization and a priori information.
Appl. Math. Comput., 2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
2007
A New Approach for Function Approximation Based on Adaptive Particle Swarm Optimization.
Proceedings of the Third International Conference on Natural Computation, 2007
A New Learning Algorithm for Function Approximation By Incorporating A Priori Information Into Feedforward Neural Networks.
Proceedings of the Third International Conference on Natural Computation, 2007
A New Learning Algorithm for Function Approximation by Encoding Additional Constraints into Feedforward Neural Network.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007
2005
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2005