| MAST-GNN: A multimodal adaptive spatio-temporal graph neural network for airspace complexity prediction B Li, Z Li, J Chen, Y Yan, Y Lv, W Du Transportation Research Part C: Emerging Technologies 160, 104521, 2024 | 3 | 2024 |
| Airport Ground Movement Optimization Revisited: Coupling Airport Runway Spacing to Multi-Objective Routing and Scheduling Through Genetic Algorithms FRP Perea, J Chen, M Weiszer, J Korna, R Cannon 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 200-206, 2023 | | 2023 |
| A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation B Li, T Guo, Y Mei, Y Li, J Chen, Y Zhang, K Tang, W Du Swarm and Evolutionary Computation 83, 2023 | 5 | 2023 |
| Extracting Multi-objective Multigraph Features for the Shortest Path Cost Prediction: Statistics-based or Learning-based? S Liu, X Wang, M Weiszer, J Chen Green Energy and Intelligent Transportation, 100129, 2023 | | 2023 |
| Routing and Scheduling in Multigraphs with Time Constraints-A Memetic Approach for Airport Ground Movement L Beke, L Uribe, A Lara, CAC Coello, M Weiszer, EK Burke, J Chen IEEE Transactions on Evolutionary Computation, 2023 | 4 | 2023 |
| An Interval Type-2 Fuzzy Logic Based Map Matching Algorithm for Airport Ground Movements X Wang, AEI Brownlee, M Weiszer, JR Woodward, M Mahfouf, J Chen IEEE Transactions on Fuzzy Systems, 2022 | 4 | 2022 |
| Multi-objective Multigraph A* Search with Learning Heuristics based on Node Metrics and Graph Embedding S Liu, J Chen, M Weiszer 2022 IEEE 11th International Conference on Intelligent Systems (IS), 1-8, 2022 | 1 | 2022 |
| A Spatiotemporal Hybrid Model for Airspace Complexity Prediction W Du, B Li, J Chen, Y Lv, Y Li IEEE Intelligent Transportation Systems Magazine, 2022 | 8 | 2022 |
| Search graph structure and its implications for multi-graph constrained routing and scheduling problems M Weiszer, EK Burke, J Chen Scientific Reports 12 (1), 1-13, 2022 | 1 | 2022 |
| Sequence-based Selection Hyper-heuristics for Real-World Fibre Network Design Optimisation A Arpaci, J Chen, JH Drake, T Glover 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | | 2022 |
| An extended memetic algorithm for multiobjective routing and scheduling of airport ground movements with intermediate holding T Zhang, L Beke, S Liu, M Weiszer, J Chen 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | 2 | 2022 |
| Computational Intelligence in Data-Driven Modelling and Its Engineering Applications 2020 Q Zhang, J Chen, TT Nguyen Mathematical Problems in Engineering 2022, 2022 | | 2022 |
| A Spatiotemporal Neural Network Model for Estimated-Time-of-Arrival Prediction of Flights in a Terminal Maneuvering Area Y Ma, W Du, J Chen, Y Zhang, Y Lv, X Cao IEEE Intelligent Transportation Systems Magazine, 2022 | 11 | 2022 |
| Productivity prediction in aircraft final assembly lines: Comparisons and insights in different productivity ranges T Long, Y Li, J Chen Journal of Manufacturing Systems 62, 377-389, 2022 | 16 | 2022 |
| Intelligent Strategies to Combine Move Heuristics in Selection Hyper-heuristics for Real-World Fibre Network Design Optimisation A Arpaci, J Chen, J Drake, T Glover 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-08, 2021 | 2 | 2021 |
| A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties X Wang, AEI Brownlee, M Weiszer, JR Woodward, M Mahfouf, J Chen Transportation Research Part C: Emerging Technologies 132, 103382, 2021 | 17 | 2021 |
| A Deep Unsupervised Learning Approach for Airspace Complexity Evaluation B Li, W Du, Y Zhang, J Chen, K Tang, X Cao IEEE Transactions on Intelligent Transportation Systems, 2021 | 22 | 2021 |
| Cooperative pursuit of unauthorized UAVs in urban airspace via Multi-agent reinforcement learning W Du, T Guo, J Chen, B Li, G Zhu, X Cao Transportation Research Part C: Emerging Technologies 128, 103122, 2021 | 37 | 2021 |
| A Comparison of Genetic Representations and Initialisation Methods for the Multi-objective Shortest Path Problem on Multigraphs L Beke, M Weiszer, J Chen SN Computer Science 2 (3), 1-22, 2021 | 9 | 2021 |
| Bayesian Optimisation for a Biologically Inspired Population Neural Network M Kothari, S Sasi, J Chen, E Zareian, BS Bhattacharya arXiv preprint arXiv:2104.05989, 2021 | | 2021 |
Michal WeiszerQueen Mary University of LondonVerified email at qmul.ac.uk
