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. 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
  • Zhai, R., Zhang, X., Mei, Y., Guo, T., & Du, W. (2026) "Co-evolution with hierarchical decomposition for Vehicle Routing Problem with Drones". Swarm and Evolutionary Computation, 105. doi:10.1016/j.swevo.2026.102402
  • 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
  • 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. doi:10.1016/j.eswa.2025.130747
  • Gomes, H. M., Lee, A., Gunasekara, N., Sun, Y., Cassales, G. W., Liu, J., . . . Bifet, A. (2026) "CapyMOA: Efficient Machine Learning for Data Streams and Online Continual Learning in Python". __. doi:10.48550/arxiv.2502.07432
  • Li, Y., Wang, H., Xue, B., Zhang, M., & Jin, Y. (2026) "Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design". __. doi:10.48550/arxiv.2512.18682
  • Lensen, A., Plaut, E., Daubs, M. S., & Hill, S. (2026) "Could NZ’s next Christchurch Call be a push for fairer, safer AI?". The Conversation. doi:10.64628/AA.hynmvc6jx
  • Zhao, J., Xue, B., Vennell, R., & Zhang, M. (2026) "Neural Radiance Field-Based 3D Reconstruction and View Synthesis for Mussel Farm Environments". Journal of the Royal Society of New Zealand, 56(2). doi:10.1002/snz2.70044
  • Wang, Y., Zhang, J., Zhang, F., Wang, G. G., & Zhang, M. (2026) "Niching Genetic Programming With Elite Archive for Multi-Objective Dynamic Scheduling". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(2), 2150-2165. doi:10.1109/TETCI.2025.3623315
  • 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
  • Geng, S., Mei, Y., Zhang, F., Wang, L., Wu, Q., & Zhang, M. (2026) "A Novel Multi-Objective Memetic Algorithm for Multi-Task Fuzzy Flexible Job Shop Scheduling". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(2), 1765-1778. doi:10.1109/TETCI.2025.3603106
  • 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
  • Lensen, A., & Geddis, A. (2026) "AI is already creeping into election campaigns". NZ’s rules aren’t ready. The Conversation. doi:10.64628/AA.5mv4saa54
  • 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