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:
- Li, A. D., Xue, B., & Zhang, M. (2023) "Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes". Information Sciences, 641. doi:10.1016/j.ins.2023.119062
- Wang, P., Xue, B., Liang, J., & Zhang, M. (2023) "Feature clustering-Assisted feature selection with differential evolution". Pattern Recognition, 140. doi:10.1016/j.patcog.2023.109523
- 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
- John, T. C., Abbasi, M. S., Al-Sahaf, H., Welch, I., & Jang-Jaccard, J. (2023) "Evolving malice scoring models for ransomware detection: An automated approach by utilising genetic programming and cooperative coevolution". Computers and Security, 129. doi:10.1016/j.cose.2023.103215
- Xiao, Q., Niu, B., Xue, B., & Hu, L. (2023) "Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning". IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(5), 2802-2814. doi:10.1109/TSMC.2022.3219407
- 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
- Jia, Y. H., Mei, Y., & Zhang, M. (2023) "Learning Heuristics with Different Representations for Stochastic Routing". IEEE Transactions on Cybernetics, 53(5), 3205-3219. doi:10.1109/TCYB.2022.3169210
- Bi, Y., Xue, B., & Zhang, M. (2023) "Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification". IEEE Transactions on Cybernetics, 53(5), 3007-3020. doi:10.1109/TCYB.2022.3174519
- Ain, Q. U., Al-Sahaf, H., Xue, B., & Zhang, M. (2023) "Automatically Diagnosing Skin Cancers from Multimodality Images Using Two-Stage Genetic Programming". IEEE Transactions on Cybernetics, 53(5), 2727-2740. doi:10.1109/TCYB.2022.3182474
- Barddal, J. P., Gomes, H. M., & Enembreck, F. (2023) "Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory". __. doi:10.48550/arxiv.2304.09788
- Zeng, P., Song, X., Lensen, A., Ou, Y., Sun, Y., Zhang, M., & Lv, J. (2023) "Differentiable Genetic Programming for High-dimensional Symbolic Regression". __. doi:10.48550/arXiv.2304.08915
- Lensen, A. (2023) "Genetic Programming, Explainability, and Interdisciplinary AI (Invited Talk)". Centrum Wiskunde & Informatica (CWI).
- 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.
- Mei, Y. (2023) "Invited Speaker of "Genetic Programming and Reinforcement Learning for Dynamic Scheduling"". IEEE Computational Intelligence Society Early Career Researcher Forum.
- 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
- Wang, P., Xue, B., Liang, J., & Zhang, M. (2023) "Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach". IEEE Transactions on Evolutionary Computation, 27(2), 296-310. doi:10.1109/TEVC.2022.3168052
- Ma, J., Gao, X., & Li, Y. (2023) "Multi-generation multi-criteria feature construction using Genetic Programming". Swarm and Evolutionary Computation, 78. doi:10.1016/j.swevo.2023.101285
- Ardeh, M. A., Mei, Y., Zhang, M., & Yao, X. (2023) "Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem". IEEE Transactions on Evolutionary Computation, 27(2), 311-325. doi:10.1109/TEVC.2022.3169289
- 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
