| Understanding the intention to use commercial bike-sharing systems: An integration of TAM and TPB Y Yu, W Yi, Y Feng, J Liu | 85 | 2018 |
| Cooperative bacterial foraging optimization method for multi-objective multi-echelon supply chain optimization problem B Niu, L Tan, J Liu, J Liu, W Yi, H Wang Swarm and Evolutionary Computation 49, 87-101, 2019 | 32 | 2019 |
| Ensemble particle swarm optimization and differential evolution with alternative mutation method H Wang, LL Zuo, J Liu, WJ Yi, B Niu Natural Computing 19, 699-712, 2020 | 24 | 2020 |
| Automated design of metaheuristics using reinforcement learning within a novel general search framework W Yi, R Qu, L Jiao, B Niu IEEE Transactions on Evolutionary Computation, 2022 | 23 | 2022 |
| A multi-objective feature selection method based on bacterial foraging optimization B Niu, W Yi, L Tan, S Geng, H Wang Natural Computing 20, 63-76, 2021 | 20 | 2021 |
| Identifying expertise through semantic modeling: A modified BBPSO algorithm for the reviewer assignment problem C Yang, T Liu, W Yi, X Chen, B Niu Applied Soft Computing 94, 106483, 2020 | 13 | 2020 |
| An improved brain storm optimization with learning strategy H Wang, J Liu, W Yi, B Niu, J Baek Advances in Swarm Intelligence: 8th International Conference, ICSI 2017 …, 2017 | 11 | 2017 |
| Automated algorithm design using proximal policy optimisation with identified features W Yi, R Qu, L Jiao Expert Systems with Applications 216, 119461, 2023 | 10 | 2023 |
| Multi-objective comprehensive learning bacterial foraging optimization for portfolio problem B Niu, W Yi, L Tan, J Liu, Y Li, H Wang Advances in Swarm Intelligence: 8th International Conference, ICSI 2017 …, 2017 | 4 | 2017 |
| Automated design of search algorithms based on reinforcement learning W Yi, R Qu Information Sciences 649, 119639, 2023 | 2 | 2023 |
| Automated design of population-based algorithms: a case study in vehicle routing W Yi University of Nottingham, 2023 | | 2023 |
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