| 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 | 34 | 2023 |
| 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 | 28 | 2023 |
| Genetic programming with archive for dynamic flexible job shop scheduling M Xu, F Zhang, Y Mei, M Zhang 2021 IEEE congress on evolutionary computation (CEC), 2117-2124, 2021 | 19 | 2021 |
| Genetic programming and reinforcement learning on learning heuristics for dynamic scheduling: A preliminary comparison M Xu, Y Mei, F Zhang, M Zhang IEEE Computational Intelligence Magazine 19 (2), 18-33, 2024 | 14 | 2024 |
| Genetic programming with multi-case fitness for dynamic flexible job shop scheduling M Xu, F Zhang, Y Mei, M Zhang 2022 IEEE Congress on Evolutionary Computation (CEC), 01-08, 2022 | 11 | 2022 |
| Niching genetic programming to learn actions for deep reinforcement learning in dynamic flexible scheduling M Xu, Y Mei, F Zhang, M Zhang IEEE Transactions on Evolutionary Computation, 2024 | 9 | 2024 |
| Genetic programming for dynamic flexible job shop scheduling: Evolution with single individuals and ensembles M Xu, Y Mei, F Zhang, M Zhang IEEE Transactions on Evolutionary Computation 28 (6), 1761-1775, 2023 | 9 | 2023 |
| Genetic programming with diverse partner selection for dynamic flexible job shop scheduling M Xu, Y Mei, F Zhang, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 7 | 2022 |
| A cell potential and motion pattern driven multi-robot coverage path planning algorithm M Xu, B Xin, L Dou, G Gao International Conference on Bio-Inspired Computing: Theories and …, 2019 | 6 | 2019 |
| Multi-objective genetic programming based on decomposition on evolving scheduling heuristics for dynamic scheduling M Xu, Y Mei, F Zhang, M Zhang Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 4 | 2023 |
| A semantic genetic programming approach to evolving heuristics for multi-objective dynamic scheduling M Xu, Y Mei, F Zhang, M Zhang Australasian Joint Conference on Artificial Intelligence, 403-415, 2023 | 3 | 2023 |
| Evolutionary Competitive Multiobjective Multitasking: One-Pass Optimization of Heterogeneous Pareto Solutions Y Li, X Wu, W Gong, M Xu, Y Wang, Q Gu IEEE Transactions on Evolutionary Computation, 2025 | 1 | 2025 |
| Advancing Genetic Programming for Learning Scheduling Heuristics M Xu Open Access Te Herenga Waka-Victoria University of Wellington, 2024 | 1 | 2024 |
| Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling M Xu, Y Mei, F Zhang, M Zhang IEEE Congress on Evolutionary Computation, 1-8, 2022 | | 2022 |
| A Preliminary Study of Indicator-based Genetic Programming for Multi-objective Dynamic Flexible Scheduling M Xu | | |
Mengjie Zhang，FRSNZ, FEngNZ, FIE...Professor of Computer Science, Victoria University of WellingtonVerifierad e-postadress på ecs.vuw.ac.nz