| 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 | 46 | 2018 |
| 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 | 44* | 2022 |
| 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 | 29 | 2013 |
| 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 | 26 | 2021 |
| 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 | 14 | 2023 |
| 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 | 14 | 2021 |
| 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 | 13 | 2023 |
| 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 10 (2), 2421–2443, 2024 | 9 | 2024 |
| 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 | 8 | 2014 |
| 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 | 5 | 2024 |
| 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 | 5 | 2021 |
| 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 | 5 | 2021 |
| 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 | 5 | 2016 |
| 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 | 5 | 2011 |
| 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 | 3 | 2021 |
| 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 | 2 | 2010 |
| 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 | 2 | 2010 |
| 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 |
| 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 |
| 基于遗传编程进化规划的变异算子的自动化设计 洪立斌， 虞歌 杭州师范大学学报: 自然科学版 12 (2), 173-179, 2013 | | 2013 |
Ender ÖzcanProfessor of Computer Science and Operations Research, University of NottinghamΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα nottingham.ac.uk
