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:
- 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
- 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
- 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.
- 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
- Ma, J., Gao, X., & Li, Y. (2023) "Multi-generation multi-criteria feature construction using Genetic Programming". Swarm and Evolutionary Computation, 78, 101285. doi:10.1016/j.swevo.2023.101285
- 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
- Ceschin, F., Botacin, M., Gomes, H. M., Pinagé, F., Oliveira, L. S., & Grégio, A. (2023) "Fast & Furious: On the modelling of malware detection as an evolving data stream[Formula presented]". Expert Systems with Applications, 212. doi:10.1016/j.eswa.2022.118590
- Bi, Y., Xue, B., & Zhang, M. (2023) "Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification". IEEE Transactions on Cybernetics, 53(2), 1118-1132. doi:10.1109/TCYB.2021.3105696
- Bi, Y., Xue, B., Mesejo, P., Cagnoni, S., & Zhang, M. (2023) "A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends". IEEE Transactions on Evolutionary Computation, 27(1), 5-25. doi:10.1109/TEVC.2022.3220747
- Raymond, C., Chen, Q., Xue, B., & Zhang, M. (2023) "Online Loss Function Learning". __. doi:10.48550/arxiv.2301.13247
- O'Sullivan, F., Escott, K., Shaw, R., & Lensen, A. (2023) "Feature-based Image Matching for Identifying Individual Kākā". __. doi:10.48550/arXiv.2301.06678
- Zhang, H., Zhou, A., Chen, Q., Xue, B., & Zhang, M. (2023) "SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning Method". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3243172
- Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2023) "Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3255246
- Yuan, G., Wang, B., Xue, B., & Zhang, M. (2023) "Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-based Encoding Strategy". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3245322
- Yu, H., Fan, X., Hou, Y., Pei, W., Ge, H., Yang, X., . . . Zhang, M. (2023) "Towards Realistic 3D Human Motion Prediction with A Spatio-temporal Cross-transformer Approach". IEEE Transactions on Circuits and Systems for Video Technology. doi:10.1109/TCSVT.2023.3255186
- Xue, B., Green, R., & Zhang, M. (2023) "Artificial Intelligence in New Zealand: applications and innovation". Journal of the Royal Society of New Zealand, 53(1), 1-5. doi:10.1080/03036758.2023.2170165
- Xu, M., Mei, Y., Zhu, S., Zhang, B., Xiang, T., Zhang, F., & Zhang, M. (2023) "Genetic Programming for Dynamic Workflow Scheduling in Fog Computing". IEEE Transactions on Services Computing. doi:10.1109/TSC.2023.3249160
- Xu, M., Mei, Y., Zhang, F., & Zhang, M. (2023) "Genetic Programming with Lexicase Selection for Large-scale Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3244607
- Wang, S., Mei, Y., & Zhang, M. (2023) "Explaining Genetic Programming-Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3238741
