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Libin HONG (洪立斌) Ph.D from the University of Nottingham
Libin HONG (洪立斌) Ph.D from the University of Nottingham
Associate Professor at Hangzhou Normal University【https://github.com/microhard1999/CODES】
Verified email at nottingham.edu.cn - Homepage
Title
Cited by
Cited by
Year
A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming
L HONG, JH DRAKE, JR WOODWARD, E ÖZCAN
Applied Soft Computing 62, 162-175, 2018
412018
Automated design of probability distributions as mutation operators for evolutionary programming using genetic programming
L HONG, JR WOODWARD, J LI, E ÖZCAN
European Conference on Genetic Programming, 85-96, 2013
292013
Semi-supervised multiview feature selection with adaptive graph learning
B Jiang, X Wu, X Zhou, Y Liu, AG Cohn, W Sheng, H Chen
IEEE Transactions on Neural Networks and Learning Systems, 2022
192022
UAV search-and-rescue planning using an adaptive memetic algorithm
L HONG, Y WANG, Y DU, X CHEN, Y ZHENG
Frontiers of Information Technology & Electronic Engineering 22 (11), 1477-1491, 2021
172021
A step size based self-adaptive mutation operator for evolutionary programming
L HONG, JH DRAKE, E ÖZCAN
Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014
102014
Robust adaptive-weighting multi-view classification
B JIANG, J XIANG, X WU, W HE, L HONG, W SHENG
In Proceedings of the 30th ACM International Conference on Information and …, 2021
92021
An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase
L Hong, X Yu, B Wang, J Woodward, E Özcan
Swarm and Evolutionary Computation 78, 101278, 2023
52023
Effective defect detection method based on bilinear texture features for LGPs
L HONG, X WU, D ZHOU, F LIU
IEEE Access 9, 147958-147966, 2021
52021
Automatically designing more general mutation operators of evolutionary programming for groups of function classes using a hyper-heuristic
L HONG, JH DRAKE, JR WOODWARD, E ÖZCAN
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 725-732, 2016
52016
Research on subjective trust model based on cloud model for open networks
L TAO, D HUANG, L HONG
Journal of Computational Information Systems 7 (13), 4844-4854, 2011
52011
A variant of the united multi-operator evolutionary algorithms using sequential quadratic programming and improved SHADE-cnEpSin
L Hong, Y Guo, F Liu, B Wang
Information Sciences 622, 652-681, 2023
42023
Mutation strategy based on step size and survival rate for evolutionary programming
L HONG, C LIU, J CUI, F LIU
Discrete Dynamics in Nature and Society 2021, 1-13, 2021
32021
Hyper-heuristic approach: automatically designing adaptive mutation operators for evolutionary programming
L HONG, JR WOODWARD, E ÖZCAN, F LIU
Complex & Intelligent Systems 7 (6), 3135-3163, 2021
32021
A web-based examination and evaluation system for computer programming
G YU, L HONG, L SHENG
2010 International Conference on Management and Service Science, 1-4, 2010
22010
Ensemble strategy using particle swarm optimisation variant and enhanced local search capability
L Hong, G Wang, E Özcan, J Woodward
Swarm and Evolutionary Computation 84, 101452, 2024
12024
Research of subjective trust comprehensive evaluation model based on multi-element connection number
L TAO, D HUANG, L HONG
The 2nd International Conference on Information Science and Engineering …, 2010
12010
A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization
L Hong, X Yu, G Tao, E Özcan, J Woodward
Complex & Intelligent Systems, 2024
2024
Partial mixture-of-experts similarity variational autoencoder for clustering on single cell data
C Liu, L Hong, F Liu
2022 7th International Conference on Intelligent Computing and Signal …, 2022
2022
Semi-supervised feature selection with adaptive graph learning
B JIANG, W HE, X WU, J XIANG, L HONG, W SHENG
Acta Electronica Sinica 50 (7), 1643-1652, 2022
2022
基于自适应文化基因算法的无人机搜救规划
L Hong, Y Wang, Y Du, X Chen, Y Zheng, AL Hong, AY Wang, AY Du, ...
Frontiers 22 (11), 1477-1491, 2021
2021
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