| Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies AD Li, B Xue, M Zhang Applied Soft Computing 106, 107302, 2021 | 119 | 2021 |
| Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection AD Li, B Xue, M Zhang Information Sciences 523, 245-265, 2020 | 66 | 2020 |
| Bi-objective variable selection for key quality characteristics selection based on a modified NSGA-II and the ideal point method AD Li, Z He, Y Zhang Computers in Industry 82, 95-103, 2016 | 49 | 2016 |
| Key quality characteristics selection for imbalanced production data using a two-phase bi-objective feature selection method AD Li, Z He, Q Wang, Y Zhang European Journal of Operational Research 274 (3), 978-989, 2019 | 24 | 2019 |
| Multiobjective feature selection for key quality characteristic identification in production processes using a nondominated-sorting-based whale optimization algorithm AD Li, Z He Computers & Industrial Engineering 149, 106852, 2020 | 23 | 2020 |
| Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes AD Li, B Xue, M Zhang Information Sciences 641, 119062, 2023 | 13 | 2023 |
| A forward search inspired particle swarm optimization algorithm for feature selection in classification AD Li, B Xue, M Zhang 2021 IEEE Congress on Evolutionary Computation (CEC), 786-793, 2021 | 8 | 2021 |
| Robust multi-response optimization considering location effect, dispersion effect, and model uncertainty using hybridization of NSGA-II and direct multi-search AD Li, Z He, Y Zhang Computers & Industrial Engineering 169, 108247, 2022 | 7 | 2022 |
| A decomposition-based multi-objective particle swarm optimization algorithm with a local search strategy for key quality characteristic identification in production processes Z He, H Hu, M Zhang, Y Zhang, AD Li Computers & Industrial Engineering 172, 108617, 2022 | 6 | 2022 |
| Self‐information‐based weighted CUSUM charts for monitoring Poisson count data with varying sample sizes Y Zhang, Y Shang, AD Li Quality and Reliability Engineering International, 2020 | 5 | 2020 |
| ReliefF based forward selection algorithm to identify CTQs for complex products A Li, Z He Proceedings of the 22nd International Conference on Industrial Engineering …, 2016 | 3 | 2016 |
| An improved exponential EWMA chart for monitoring time between events Y Zhang, Y Shang, X Hu, AD Li Quality and Reliability Engineering International 38 (5), 2748-2768, 2022 | 2 | 2022 |
| Integrating Assembly Line Balancing in Product Family Planning Design under the Multinomial Logit Choice Model X Liu, Y Xia, M Chen, AD Li 2019 International Conference on Industrial Engineering and Systems …, 2019 | 2 | 2019 |
| 基于 CEM-IG 算法的复杂产品关键质量特性识别 闫伟， 何桢， 李岸达 系统工程理论与实践 34 (5), 1230-1236, 2014 | 2 | 2014 |
| 基于 NSGA-Ⅱ 的非平衡制造数据关键质量特性识别 李岸达， 何桢， 何曙光 系统工程理论与实践 36 (6), 1472-1479, 2016 | 1 | 2016 |
| 基于 GSA 的复杂产品关键质量特性识别 李岸达， 何桢， 何曙光 系统工程与电子技术 37 (9), 2073-2079, 2010 | 1 | 2010 |
| An improved probability-based discrete particle swarm optimization algorithm for solving the product portfolio planning problem X Liu, AD Li Soft Computing 28 (3), 2535-2562, 2024 | | 2024 |
| 基于 Filter 与 Wrapper 的复杂产品关键质量特性识别 李岸达， 何桢， 何曙光 工业工程与管理 19 (3), 53-59, 2014 | | 2014 |
Mengjie Zhang，FRSNZ, FEngNZ, FIE...Professor of Computer Science, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
