| A mixed strategy for evolutionary programming based on local fitness landscape L Shen, J He IEEE Congress on Evolutionary Computation, 1-8, 2010 | 28 | 2010 |
| Constructing anfis with sparse data through group-based rule interpolation: an evolutionary approach J Yang, C Shang, Y Li, F Li, L Shen, Q Shen IEEE Transactions on Fuzzy Systems 30 (4), 893-907, 2021 | 17 | 2021 |
| Transformation-based fuzzy rule interpolation with Mahalanobis distance measures supported by Choquet integral M Zhou, C Shang, G Li, L Shen, N Naik, S Jin, J Peng, Q Shen IEEE Transactions on Fuzzy Systems 31 (4), 1083-1097, 2022 | 7 | 2022 |
| Multi-objective evolutionary optimisation for prototype-based fuzzy classifiers X Gu, M Li, L Shen, G Tang, Q Ni, T Peng, Q Shen IEEE Transactions on Fuzzy Systems, 2022 | 3 | 2022 |
| Evolutionary programming using a mixed strategy adapting to local fitness landscape L Shen, J He Proceedings of the 2009 UK Workshop on Computational Intelligence, 92-97, 2009 | 3 | 2009 |
| Evolutionary programming using a mixed strategy with incomplete information L Shen, J He 2010 UK Workshop on Computational Intelligence (UKCI), 1-6, 2010 | 2 | 2010 |
| Evolutionary Algorithms L Shen | 1 | 2016 |
| Evolutionary Algorithms with Mixed Strategy L Shen | 1 | 2016 |
| Transport Object Detection in Street View Imagery Using Decomposed Convolutional Neural Networks Y Bai, C Shang, Y Li, L Shen, S Jin, Q Shen Mathematics 11 (18), 3839, 2023 | | 2023 |
Qiang ShenDepartment of Computer Science, Aberystwyth UniversityVerified email at aber.ac.uk
