| Effects of corporate social responsibility on customer satisfaction and organizational attractiveness: A signaling perspective Q Zhang, M Cao, F Zhang, J Liu, X Li Business ethics: A European review 29 (1), 20-34, 2020 | 219 | 2020 |
| Evolving scheduling heuristics via genetic programming with feature selection in dynamic flexible job-shop scheduling F Zhang, Y Mei, S Nguyen, M Zhang IEEE Transactions on Cybernetics, 2020 | 212 | 2020 |
| Surrogate-assisted evolutionary multitask genetic programming for dynamic flexible job shop scheduling F Zhang, Y Mei, S Nguyen, M Zhang, KC Tan IEEE Transactions on Evolutionary Computation 25 (4), 651-665, 2021 | 194 | 2021 |
| Multitask genetic programming-based generative hyperheuristics: A case study in dynamic scheduling F Zhang, Y Mei, S Nguyen, KC Tan, M Zhang IEEE Transactions on Cybernetics 52 (10), 10515-10528, 2021 | 95 | 2021 |
| Collaborative multifidelity-based surrogate models for genetic programming in dynamic flexible job shop scheduling F Zhang, Y Mei, S Nguyen, M Zhang IEEE Transactions on Cybernetics 52 (8), 8142-8156, 2021 | 90 | 2021 |
| Correlation coefficient-based recombinative guidance for genetic programming hyperheuristics in dynamic flexible job shop scheduling F Zhang, Y Mei, S Nguyen, M Zhang IEEE Transactions on Evolutionary Computation 25 (3), 552-566, 2021 | 74 | 2021 |
| Evolving dispatching rules for multi-objective dynamic flexible job shop scheduling via genetic programming hyper-heuristics F Zhang, Y Mei, M Zhang 2019 IEEE Congress on Evolutionary Computation (CEC), 1366-1373, 2019 | 72 | 2019 |
| Survey on genetic programming and machine learning techniques for heuristic design in job shop scheduling F Zhang, Y Mei, S Nguyen, M Zhang IEEE Transactions on Evolutionary Computation 28 (1), 147-167, 2023 | 71 | 2023 |
| A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling F Zhang, Y Mei, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference, 347-355, 2019 | 69 | 2019 |
| Genetic programming with multi-tree representation for dynamic flexible job shop scheduling F Zhang, Y Mei, M Zhang AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 | 65 | 2018 |
| Multitask multiobjective genetic programming for automated scheduling heuristic learning in dynamic flexible job-shop scheduling F Zhang, Y Mei, S Nguyen, M Zhang IEEE Transactions on Cybernetics 53 (7), 4473-4486, 2022 | 60 | 2022 |
| Genetic Programming for Production Scheduling F Zhang, S Nguyen, Y Mei, M Zhang Springer, 2021 | 45* | 2021 |
| Surrogate-assisted genetic programming for dynamic flexible job shop scheduling F Zhang, Y Mei, M Zhang AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 | 41 | 2018 |
| Genetic programming for dynamic workflow scheduling in fog computing M Xu, Y Mei, S Zhu, B Zhang, T Xiang, F Zhang, M Zhang IEEE Transactions on Services Computing 16 (4), 2657-2671, 2023 | 36 | 2023 |
| A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming F Zhang, Y Mei, S Nguyen, M Zhang Proceedings of the 2020 genetic and evolutionary computation conference …, 2020 | 35 | 2020 |
| Task relatedness-based multitask genetic programming for dynamic flexible job shop scheduling F Zhang, Y Mei, S Nguyen, KC Tan, M Zhang IEEE Transactions on Evolutionary Computation 27 (6), 1705-1719, 2022 | 31 | 2022 |
| A new representation in genetic programming for evolving dispatching rules for dynamic flexible job shop scheduling F Zhang, Y Mei, M Zhang Evolutionary Computation in Combinatorial Optimization: 19th European …, 2019 | 30 | 2019 |
| Genetic programming with lexicase selection for large-scale dynamic flexible job shop scheduling M Xu, Y Mei, F Zhang, M Zhang IEEE Transactions on Evolutionary Computation, 2023 | 29 | 2023 |
| Instance-rotation-based surrogate in genetic programming with brood recombination for dynamic job-shop scheduling F Zhang, Y Mei, S Nguyen, KC Tan, M Zhang IEEE Transactions on Evolutionary Computation 27 (5), 1192-1206, 2022 | 29 | 2022 |
| Guided subtree selection for genetic operators in genetic programming for dynamic flexible job shop scheduling F Zhang, Y Mei, S Nguyen, M Zhang European Conference on Genetic Programming (Part of EvoStar), 262-278, 2020 | 28 | 2020 |
Yi Mei, Fellow of EngNZAssociate Professor/Reader, Associate Dean (Research), Victoria University of WellingtonOverená e-mailová adresa na: ecs.vuw.ac.nz
