Evolutionary Computation and Machine Learning Research Group: Publications
Our publications are organised by year, or you can see the full list
here.
Our 20 most recent publications:
- 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, 130747. doi:10.1016/j.eswa.2025.130747
- 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
- 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
- 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
- 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
- Sun, Y., Gomes, H. M., Lee, A., Gunasekara, N., Weigert Cassales, G., Liu, J. J., . . . Bifet, A. (2026) "Machine Learning for Data Streams with CapyMOA". In Unknown Book (Vol. 16022, pp. 438-443). doi:10.1007/978-3-032-06129-4_27
- Nguyen, B. H., Nguyen, B. P., Truong, H. V., & Le, V. T. (2026) "Differential Evolutionary for Label Ordering in Multi-label Classification". In Unknown Book (Vol. 16200 LNCS, pp. 84-99). doi:10.1007/978-981-95-3462-3_7
- Gupta, S., Rezayat, S., Burmester, G., Durak, U., Ma, H., & Hartmann, S. (2026) "From ConOps to an Operational Domain Model: Harnessing LLMs for Conceptual Model Design". In Unknown Book (Vol. 16190 LNCS, pp. 137-156). doi:10.1007/978-3-032-08620-4_9
- Doherty, W., Lee, A., & Gomes, H. M. (2026) "CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning". In Unknown Book (Vol. 2292 CCIS, pp. 348-362). doi:10.1007/978-981-96-6688-1_24
- de Silva, A., Chen, G., Ma, H., & Nekooei, S. M. (2026) "EIGA: A Novel Genetic Algorithm Based on Edge Information for Community Detection in Weighted Social Networks". IEEE Transactions on Knowledge and Data Engineering, 38(1), 276-289. doi:10.1109/TKDE.2025.3619494
- Yang, Z., Zuo, X., Huang, H., Chen, G., Zhao, X., & Zhang, T. (2025) "IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization". In Advances in Neural Information Processing Systems.
- Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2025) "Adaptive complexity knee point selection in multi-objective genetic programming for improving generalization of evolutionary feature construction in regression". Genetic Programming and Evolvable Machines, 26(2). doi:10.1007/s10710-025-09525-6
- Wood, J., Nguyen, B., Xue, B., Zhang, M., & Killeen, D. (2025) "Hook, line, and spectra: machine learning for fish species identification and body part classification using rapid evaporative ionization mass spectrometry". Intelligent Marine Technology and Systems, 3(1). doi:10.1007/s44295-025-00066-3
- Palli, A. S., Jaafar, J., Md Saad, M. H., Mokhtar, A. A., Gomes, H. M., Soomro, A. A., & Gilal, A. R. (2025) "Smart adaptive ensemble model for multiclass imbalanced nonstationary data streams". Scientific Reports, 15(1). doi:10.1038/s41598-025-05122-w
- Huang, Z., Mei, Y., Zhang, F., Zhang, M., & Banzhaf, W. (2025) "Cross-Representation Genetic Programming: A Case Study on Tree-Based and Linear Representations". Evolutionary Computation, 33(4), 541-568. doi:10.1162/evco.a.25
- Chen, Z., Blommaert, J., Mei, Y., Jesson, L., Wellenreuther, M., & Zhang, M. (2025) "Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus)". BMC Bioinformatics, 26(1). doi:10.1186/s12859-025-06287-x
- Bai, M., Gao, Y., Gao, X., & Ma, J. (2025) "Multi-objective genetic programming for binary classification with adaptive thresholds and a generalization-optimizing fitness function". Applied Soft Computing, 185. doi:10.1016/j.asoc.2025.113956
- Hendro, D., Mei, Y., & Welch, I. (2025) "An Investigation of Feature-Grouping for Robust SHAP Explanations in IoT Intrusion Detection". In 2025 IEEE 35th International Telecommunication Networks and Applications Conference (ITNAC) (pp. 1-8). IEEE. doi:10.1109/itnac66378.2025.11302604