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:

  • Dong, L., Bi, Y., Xue, B., & Zhang, M. (2026) "An enhanced genetic programming algorithm with new genetic operators for medical image classification". Genetic Programming and Evolvable Machines, 27(1). doi:10.1007/s10710-026-09533-0
  • 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
  • Zhang, F., Ardeh, M. A., Mei, Y., & Zhang, M. (2026) "Genetic Programming with Tabu List for Dynamic Flexible Job Shop Scheduling". Evolutionary Computation, 34(1), 137-165. doi:10.1162/evco.a.26
  • 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
  • Hancer, E., Liu, I., Xue, B., Vennell, R., & Zhang, M. (2026) "Forecasting Green‐Lipped Mussel Settlement via Feature Engineering and Random Forest Regressor". New Zealand Journal of Marine and Freshwater Research, 60(1). doi:10.1002/nzm2.70012
  • Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2026) "Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression through Vicinal Jensen Gap Minimization". __.
  • 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
  • Jiao, R., Xue, B., & Zhang, M. (2026) "Learning to Preselection: A Filter-Based Performance Predictor for Multiobjective Feature Selection in Classification". IEEE Transactions on Evolutionary Computation, 30(1), 31-45. doi:10.1109/TEVC.2024.3373802
  • Hancer, E., Xue, B., & Zhang, M. (2026) "A Survey on Evolutionary Feature Selection in Multilabel Classification". IEEE Transactions on Evolutionary Computation, 30(1), 121-140. doi:10.1109/TEVC.2025.3544681
  • 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, Y., Jiao, R., Xue, B., & Zhang, M. (2026) "Evolutionary Streaming Feature Selection via Incremental Feature Clustering". IEEE Transactions on Evolutionary Computation, 1. doi:10.1109/tevc.2026.3667279
  • 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
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