Evolutionary Computation and Machine Learning Research Group: Publications

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

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:

  • Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2024) "Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction". In Unknown Book (Vol. 14326 LNAI, pp. 385-397). doi:10.1007/978-981-99-7022-3_36
  • Xu, M., Mei, Y., Zhang, F., & Zhang, M. (2024) "A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling". In Lecture Notes in Computer Science (pp. 403-415). Springer Nature Singapore. doi:10.1007/978-981-99-8391-9_32
  • Rimas, M., Chen, Q., & Zhang, M. (2024) "Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming". In Lecture Notes in Computer Science (pp. 429-440). Springer Nature Singapore. doi:10.1007/978-981-99-8391-9_34
  • Nguyen, B., Xue, B., Browne, W., & Zhang, M. (2024) "Evolutionary Classification". In Handbook of Evolutionary Machine Learning (pp. 171-204). Springer Nature Singapore. doi:10.1007/978-981-99-3814-8_7
  • Lv, Z., Song, X., Feng, Y., Ou, Y., Sun, Y., & Zhang, M. (2024) "Evolutionary Neural Network Architecture Search". In Handbook of Evolutionary Machine Learning (pp. 247-281). Springer Nature Singapore. doi:10.1007/978-981-99-3814-8_9
  • Londt, T., Gao, X., Andreae, P., & Mei, Y. (2024) "XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks". In Lecture Notes in Computer Science (pp. 416-428). Springer Nature Singapore. doi:10.1007/978-981-99-8391-9_33
  • Liu, Z., Wang, R., Japkowicz, N., Gomes, H. M., Peng, B., & Zhang, W. (2024) "SeGDroid: An Android malware detection method based on sensitive function call graph learning[Formula presented]". Expert Systems with Applications, 235. doi:10.1016/j.eswa.2023.121125
  • Huang, V., Wang, C., Datta, S., Chen, B., Chen, G., & Ma, H. (2024) "Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization". In Lecture Notes in Computer Science (pp. 387-399). Springer Nature Singapore. doi:10.1007/978-981-99-8391-9_31
  • Fan, Q., Bi, Y., Xue, B., & Zhang, M. (2024) "A genetic programming-based method for image classification with small training data". Knowledge-Based Systems, 283, 111188. doi:10.1016/j.knosys.2023.111188
  • de Silva, A., Chen, G., Ma, H., & Nekooei, S. M. (2024) "Leiden Fitness-Based Genetic Algorithm with Niching for Community Detection in Large Social Networks". In Unknown Book (Vol. 14326 LNAI, pp. 423-435). doi:10.1007/978-981-99-7022-3_39
  • Chen, Q., Xue, B., Browne, W., & Zhang, M. (2024) "Evolutionary Regression and Modelling". In Handbook of Evolutionary Machine Learning (pp. 121-149). Springer Nature Singapore. doi:10.1007/978-981-99-3814-8_5
  • Li, B., Guo, T., Mei, Y., Li, Y., Chen, J., Zhang, Y., . . . Du, W. (2023) "A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation". Swarm and Evolutionary Computation, 83. doi:10.1016/j.swevo.2023.101400
  • Hancer, E., Xue, B., & Zhang, M. (2023) "An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios". Knowledge-Based Systems, 280. doi:10.1016/j.knosys.2023.111008
  • Lythe, M., Mazorra de Cos, G., Mingallon, M., Lensen, A., Galloway, C., Knox, D., . . . Kumarasinghe, K. (2023) "Explainable AI – building trust through understanding: Explainable AI Whitepaper". AI Forum. Retrieved from https://aiforum.org.
  • Zhang, Y., Mei, Y., Zhang, H., Cai, Q., & Wu, H. (2023) "RoCaSH2: An Effective Route Clustering and Search Heuristic for Large-Scale Multi-Depot Capacitated Arc Routing Problem". IEEE Computational Intelligence Magazine, 18(4), 43-56. doi:10.1109/MCI.2023.3304081
  • Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2023) "MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]". IEEE Computational Intelligence Magazine, 18(4), 62-63. doi:10.1109/MCI.2023.3304085
  • Raymond, C., Chen, Q., Xue, B., & Zhang, M. (2023) "Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning". IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11), 13699-13714. doi:10.1109/TPAMI.2023.3294394
  • Cerqueira, V., Gomes, H. M., Bifet, A., & Torgo, L. (2023) "STUDD: a student–teacher method for unsupervised concept drift detection". Machine Learning, 112(11), 4351-4378. doi:10.1007/s10994-022-06188-7
  • Lee, A., Zhang, Y., Gomes, H. M., Bifet, A., & Pfahringer, B. (2023) "Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning". In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. ACM. doi:10.1145/3583780.3615236
  • Lensen, A. (2023) "NZ’s political leaders are ignoring the mounting threats from AI – and that’s putting everyone at risk". The Conversation. Retrieved from https://theconversation.