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:
- Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2024) "A geometric semantic macro-crossover operator for evolutionary feature construction in regression". Genetic Programming and Evolvable Machines, 25(1). doi:10.1007/s10710-023-09465-z
- Huang, Z., Mei, Y., Zhang, F., Zhang, M., & Banzhaf, W. (2024) "Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling". Genetic Programming and Evolvable Machines, 25(1). doi:10.1007/s10710-023-09478-8
- Maddigan, P., Lensen, A., & Xue, B. (2024) "Explaining Genetic Programming Trees using Large Language Models". __. doi:10.48550/arXiv.2403.03397
- Xie, X., Sun, Y., Liu, Y., Zhang, M., & Tan, K. C. (2024) "Architecture Augmentation for Performance Predictor via Graph Isomorphism". IEEE Transactions on Cybernetics, 54(3), 1828-1840. doi:10.1109/TCYB.2023.3267109
- Zheng, Y., Zhang, F., Gao, X., & Ma, J. (2024) "Bagging-based ensemble classifiers using multi-objective Genetic Programming". __. doi:10.21203/rs.3.rs-3948541/v1
- Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2024) "Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling". IEEE Transactions on Evolutionary Computation, 28(1), 147-167. doi:10.1109/TEVC.2023.3255246
- Wu, B., Zuo, X., Chen, G., Ai, G., & Wan, X. (2024) "Multi-agent deep reinforcement learning based real-time planning approach for responsive customized bus routes". Computers and Industrial Engineering, 188. doi:10.1016/j.cie.2023.109840
- Nguyen, B. H., Xue, B., & Zhang, M. (2024) "A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection". IEEE Transactions on Evolutionary Computation, 28(1), 2-16. doi:10.1109/TEVC.2022.3197427
- Huang, Z., Mei, Y., & Zhong, J. (2024) "Semantic Linear Genetic Programming for Symbolic Regression". IEEE Transactions on Cybernetics, 54(2), 1321-1334. doi:10.1109/TCYB.2022.3181461
- Fu, W., Xue, B., Gao, X., & Zhang, M. (2024) "Genetic Programming for Document Classification: A Transductive Transfer Learning System". IEEE Transactions on Cybernetics, 54(2), 1119-1132. doi:10.1109/TCYB.2023.3338266
- Eisenbarth, H., Oxner, M., Shehu, H. A., Gastrell, T., Walsh, A., Browne, W. N., & Xue, B. (2024) "Emotional arousal pattern (EMAP): A new database for modeling momentary subjective and psychophysiological responding to affective stimuli". Psychophysiology, 61(2). doi:10.1111/psyp.14446
- Demir, K., Nguyen, B. H., Xue, B., & Zhang, M. (2024) "Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection". IEEE Computational Intelligence Magazine, 19(1), 36-50. doi:10.1109/MCI.2023.3327841
- 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. doi:10.1016/j.knosys.2023.111188
- 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 Unknown Book (Vol. 14472 LNAI, pp. 403-415). doi:10.1007/978-981-99-8391-9_32
- Wang, Q., Bi, Y., Xue, B., & Zhang, M. (2024) "Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification". IEEE Transactions on Evolutionary Computation, 1. doi:10.1109/tevc.2024.3379257
- Wang, C., Chen, Q., Xue, B., & Zhang, M. (2024) "Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression". In Unknown Book (Vol. 1943 CCIS, pp. 163-176). doi:10.1007/978-981-99-8696-5_12
- Rimas, M., Chen, Q., & Zhang, M. (2024) "Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming". In Unknown Book (Vol. 14472 LNAI, pp. 429-440). doi:10.1007/978-981-99-8391-9_34
- Palli, A. S., JafreezalJaafar., Gilal, A. R., Alsughayyir, A., Gomes, H. M., Alshanqiti, A., & Omar, M. (2024) "Online Machine Learning from Non-stationary Data Streams in the Presence of Concept Drift and Class Imbalance: A Systematic Review". Journal of Information and Communication Technology, 23(1), 105-139. doi:10.32890/jict2024.23.1.5
- 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