Evolutionary Computation and Machine Learning Research Group: Publications

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

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

Our 20 most recent publications:

  • Sadeghiram, S., Ma, H., & Chen, G. (2023) "Multi-objective distributed Web service composition—A link-dominance driven evolutionary approach". Future Generation Computer Systems, 143, 163-178. doi:10.1016/j.future.2023.01.001
  • Wang, P., Xue, B., Liang, J., & Zhang, M. (2023) "Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution". Information Sciences, 626, 586-606. doi:10.1016/j.ins.2022.12.117
  • Schofield, F., Slyfield, L., & Lensen, A. (2023) "A Genetic Programming Encoder for Increasing Autoencoder Interpretability". In 26th European Conference on Genetic Programming. Brno, Czech Republic.
  • Yazdani-Asrami, M., Song, W., Morandi, A., De Carne, G., Murta-Pina, J., Pronto, A., . . . Abraham, A. (2023) "Roadmap on artificial intelligence and big data techniques for superconductivity". Superconductor Science and Technology, 36(4). doi:10.1088/1361-6668/acbb34
  • Ma, J., Gao, X., & Li, Y. (2023) "Multi-generation multi-criteria feature construction using Genetic Programming". Swarm and Evolutionary Computation, 78, 101285. doi:10.1016/j.swevo.2023.101285
  • Jia, Y. H., Mei, Y., & Zhang, M. (2023) "A Two-Stage Swarm Optimizer with Local Search for Water Distribution Network Optimization". IEEE Transactions on Cybernetics, 53(3), 1667-1681. doi:10.1109/TCYB.2021.3107900
  • Liu, Y., Sun, Y., Xue, B., Zhang, M., Yen, G. G., & Tan, K. C. (2023) "A Survey on Evolutionary Neural Architecture Search". IEEE Transactions on Neural Networks and Learning Systems, 34(2), 550-570. doi:10.1109/TNNLS.2021.3100554
  • Ceschin, F., Botacin, M., Gomes, H. M., Pinagé, F., Oliveira, L. S., & Grégio, A. (2023) "Fast & Furious: On the modelling of malware detection as an evolving data stream[Formula presented]". Expert Systems with Applications, 212. doi:10.1016/j.eswa.2022.118590
  • Bi, Y., Xue, B., & Zhang, M. (2023) "Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification". IEEE Transactions on Cybernetics, 53(2), 1118-1132. doi:10.1109/TCYB.2021.3105696
  • Bi, Y., Xue, B., Mesejo, P., Cagnoni, S., & Zhang, M. (2023) "A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends". IEEE Transactions on Evolutionary Computation, 27(1), 5-25. doi:10.1109/TEVC.2022.3220747
  • Raymond, C., Chen, Q., Xue, B., & Zhang, M. (2023) "Online Loss Function Learning". __. doi:10.48550/arxiv.2301.13247
  • O'Sullivan, F., Escott, K., Shaw, R., & Lensen, A. (2023) "Feature-based Image Matching for Identifying Individual Kākā". __. doi:10.48550/arXiv.2301.06678
  • Zhang, H., Zhou, A., Chen, Q., Xue, B., & Zhang, M. (2023) "SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning Method". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3243172
  • Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2023) "Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3255246
  • Yuan, G., Wang, B., Xue, B., & Zhang, M. (2023) "Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-based Encoding Strategy". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3245322
  • Yu, H., Fan, X., Hou, Y., Pei, W., Ge, H., Yang, X., . . . Zhang, M. (2023) "Towards Realistic 3D Human Motion Prediction with A Spatio-temporal Cross-transformer Approach". IEEE Transactions on Circuits and Systems for Video Technology. doi:10.1109/TCSVT.2023.3255186
  • Xue, B., Green, R., & Zhang, M. (2023) "Artificial Intelligence in New Zealand: applications and innovation". Journal of the Royal Society of New Zealand, 53(1), 1-5. doi:10.1080/03036758.2023.2170165
  • Xu, M., Mei, Y., Zhu, S., Zhang, B., Xiang, T., Zhang, F., & Zhang, M. (2023) "Genetic Programming for Dynamic Workflow Scheduling in Fog Computing". IEEE Transactions on Services Computing. doi:10.1109/TSC.2023.3249160
  • Xu, M., Mei, Y., Zhang, F., & Zhang, M. (2023) "Genetic Programming with Lexicase Selection for Large-scale Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3244607
  • Wang, S., Mei, Y., & Zhang, M. (2023) "Explaining Genetic Programming-Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3238741