Evolutionary Computation and Machine Learning Research Group: Publications

Our publications are organised by year, or you can see the full list here.

2026 2025 2024 2023 2022 2021
2020 2019 2018 2017 2016 2015
2014 2013 2012 2011 2010 2009
2008 2007 2006 2005 2004 2003
2002 2001 2000 Older

Our 20 most recent publications:

  • Meng, W., Li, Y., Zhang, F., Gao, X., & Ma, J. (2026) "Developing distance-based genetic programming classifiers by reconstructing datasets for imbalanced binary classification". Pattern Recognition, 173. doi:10.1016/j.patcog.2025.112825
  • Chen, K., Zhou, F., Zhang, F., Yu, K., & Yang, D. (2026) "A multi-channel signal fault diagnosis method based on dynamic weighted data fusion and multi-scale feature enhancement". Expert Systems with Applications, 306, 130747. doi:10.1016/j.eswa.2025.130747
  • Lin, J., Chen, Q., Xue, B., Rooney, J. S., Zhang, M., Lagutin, K., . . . Killeen, D. P. (2026) "Evolutionary multitasking for multi-objective feature selection in fish chemical analysis". Applied Soft Computing, 189. doi:10.1016/j.asoc.2025.114511
  • Li, H., Rotter, V. S., & Xue, B. (2026) "Nutrient Balance and Straw Recycling Efficiency in Paddy Fields of Southern China". International Journal of Plant Production, 20(1). doi:10.1007/s42106-026-00411-4
  • Zhang, M. (2026) "2026 IEEE CIS Awards [Society Briefs]". IEEE Computational Intelligence Magazine, 21(1), 6-9. doi:10.1109/mci.2025.3635835
  • Xu, M., Mei, Y., Zhang, F., & Zhang, M. (2026) "Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling". IEEE Transactions on Evolutionary Computation, 30(1), 61-75. doi:10.1109/TEVC.2024.3395699
  • Sun, F., Chen, G., Ma, H., & Hartmann, S. (2026) "Multi-objective IoT service composition with replication using memetic NSGA-II with bottleneck-driven local search". Future Generation Computer Systems, 175. doi:10.1016/j.future.2025.108039
  • Shi, H., Zuo, X., Chen, G., Zhao, X., & Yang, S. (2026) "A memetic-branch-and-price algorithm with conflict-minimizing selection strategy for bus scheduling problem". Applied Soft Computing, 188. doi:10.1016/j.asoc.2025.114420
  • Shabanov, I., Deslippe, J. R., & Lensen, A. (2026) "SALMA: A machine learning tool for precise leaf morphology measurements". Ecological Informatics, 93. doi:10.1016/j.ecoinf.2025.103592
  • Saeed, A., Chen, G., Ma, H., & Fu, Q. (2026) "A genetic algorithm with selective repair method under combined-criteria for deadline-constrained IoT workflow scheduling in Fog–Cloud computing". Future Generation Computer Systems, 175. doi:10.1016/j.future.2025.108050
  • Chen, Y., Zhao, P., & Chen, Q. (2026) "Forecasting the commuting generation using metropolis-informed GCN and the topological commuter portrait". Transportation, 53(1), 483-510. doi:10.1007/s11116-024-10504-6
  • Ai, G., Zuo, X., Chen, G., Zhou, M., Wu, B., & Zhao, X. (2026) "XRL-TO: An explainable reinforcement learning-based approach for bus timetable dynamic optimization". Expert Systems with Applications, 297. doi:10.1016/j.eswa.2025.129271
  • Zhang, Y., Mei, Y., Jia, Y. H., Qiao, D., Zhang, H., & Jiang, J. (2026) "An effective Memetic Algorithm for Multi-depot Weighted Vehicle Routing Problem". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2026.3654851
  • Zhang, H., Wang, Y., Jia, Y. H., & Mei, Y. (2026) "Genetic Programming with Model Driven Dimension Repair for Learning Interpretable Appointment Rules". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2026.3660890
  • Wang, Y., Jia, Y. H., Chen, W. N., & Mei, Y. (2026) "Soft Parameter Sharing Model for Cross-Problem Generalization in Vehicle Routing Problems". IEEE Transactions on Artificial Intelligence, 7(1), 471-485. doi:10.1109/TAI.2025.3576336
  • Sun, Z., Xue, B., Zhang, M., & Schindler, J. (2026) "YOLO-ITC: A New YOLO Method for Instance Segmentation of Individual Tree Crowns". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(1), 51-65. doi:10.1109/TETCI.2025.3543833
  • Sun, Y., Gomes, H. M., Lee, A., Gunasekara, N., Weigert Cassales, G., Liu, J. J., . . . Bifet, A. (2026) "Machine Learning for Data Streams with CapyMOA". In Unknown Book (Vol. 16022, pp. 438-443). doi:10.1007/978-3-032-06129-4_27
  • Nguyen, B. H., Nguyen, B. P., Truong, H. V., & Le, V. T. (2026) "Differential Evolutionary for Label Ordering in Multi-label Classification". In Unknown Book (Vol. 16200 LNCS, pp. 84-99). doi:10.1007/978-981-95-3462-3_7
  • Gupta, S., Rezayat, S., Burmester, G., Durak, U., Ma, H., & Hartmann, S. (2026) "From ConOps to an Operational Domain Model: Harnessing LLMs for Conceptual Model Design". In Unknown Book (Vol. 16190 LNCS, pp. 137-156). doi:10.1007/978-3-032-08620-4_9
  • Fang, Z., Ma, H., Chen, G., & Buyya, R. (2026) "HGraphScale: Hierarchical Graph Learning for Autoscaling Microservice Applications in Container-based Cloud Computing". IEEE Transactions on Services Computing, 1-13. doi:10.1109/tsc.2026.3651267
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