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) "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