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:

  • Xu, M., Mei, Y., Zhang, F., Ong, Y. S., & Zhang, M. (2026) "Genetic programming with advanced diverse partner selection for dynamic scheduling". Expert Systems with Applications, 322, 132158. doi:10.1016/j.eswa.2026.132158
  • Fang, Z., Ma, H., Chen, G., & Chen, S. (2026) "STAR: Spatial-temporal autoscaling for cloud applications with deep reinforcement learning". Expert Systems with Applications, 319. doi:10.1016/j.eswa.2026.132105
  • Hancer, E., Chaput, R., Liu, I., Xue, B., Vennell, R., & Zhang, M. (2026) "Spatiotemporal Forecasting of Mediterranean Blue Mussel Biofouling Settlement to Inform Aquaculture Management". New Zealand Journal of Marine and Freshwater Research, 60(2). doi:10.1002/nzm2.70035
  • 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
  • Pei, W., Dai, R., Xue, B., Zhang, M., Zhang, Q., Cheung, Y. -M., & Xia, S. (2026) "EvoSampling: A Granular Ball-Based Evolutionary Hybrid Sampling With Knowledge Transfer for Imbalanced Learning [Research Frontier]". IEEE Computational Intelligence Magazine, 21(2), 55-67. doi:10.1109/mci.2026.3657694
  • 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
  • Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2026) "Genetic Programming-Based Feature Selection for Symbolic Regression on Incomplete Data". Evolutionary Computation, 1-28. doi:10.1162/evco_a_00362
  • Huang, J., Xue, B., Sun, Y., Zhang, M., & Yen, G. G. (2026) "LightMix: Multi-Objective Search for Lightweight Mixed-Scale Convolutional Neural Networks". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(2), 1654-1668. doi:10.1109/TETCI.2025.3572041
  • Ain, Q. U., Al-Sahaf, H., Xue, B., & Zhang, M. (2026) "Genetic Programming for Malignancy Diagnosis From Breast Cancer Histopathological Images: A Feature Learning Approach". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(2), 1123-1136. doi:10.1109/TETCI.2024.3523769
  • Mayuravaani, M., Kleijn, W. B., Lensen, A., & Sørensen, C. (2026) "Single Microphone Own Voice Detection based on Simulated Transfer Functions for Hearing Aids". __. doi:10.48550/arxiv.2603.02724
  • 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
  • Saputhanthrige Don, N. L., Rogers, M., Zhao, J., Xue, B., & Zhang, M. (2026) "Making Animal Re-Identification Accessible: A Web-Based Giraffe ID System for Zoos". Information Switzerland, 17(3). doi:10.3390/info17030266
  • 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". __. doi:10.48550/arxiv.2602.01510
  • 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
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