Evolutionary Computation Research Group: Publications
Our publications are organised by year, or you can see the full list
here.
Our 20 most recent publications:
- Haseeb, J., Mansoori, M., Hirose, Y., Al-Sahaf, H., & Welch, I. (2022) "Autoencoder-based feature construction for IoT attacks clustering". Future Generation Computer Systems, 127, 487-502. doi:10.1016/j.future.2021.09.025
- Moghaddam, S. A. V., Al-Sahaf, H., Xue, B., Hollitt, C., & Zhang, M. (2021) "An automatic feature construction method for salient object detection: A genetic programming approach[Formula presented]". Expert Systems with Applications, 186. doi:10.1016/j.eswa.2021.115726
- Jiao, R., Zeng, S., Li, C., & Ong, Y. -S. (2021) "Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization". Information Sciences, 578, 592-614. doi:10.1016/j.ins.2021.07.048
- Alavizadeh, H., Jang-Jaccard, J., Enoch, S. Y., Al-Sahaf, H., Welch, I., Camtepe, S. A., & Kim, D. S. (2021) "A Survey on Threat Situation Awareness Systems: Framework, Techniques, and Insights". __.
- Peng, B., Wan, S., Bi, Y., Xue, B., & Zhang, M. (2021) "Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis". IEEE Transactions on Cybernetics, 51(10), 4909-4923. doi:10.1109/TCYB.2020.3032945
- Jiao, R., Zeng, S., Li, C., Yang, S., & Ong, Y. S. (2021) "Handling Constrained Many-Objective Optimization Problems via Problem Transformation". IEEE Transactions on Cybernetics, 51(10), 4834-4847. doi:10.1109/TCYB.2020.3031642
- He, Y., Liu, X. H., Zhang, H. L., Zheng, W., Zhao, F. Y., Aurel Schnabel, M., & Mei, Y. (2021) "Hybrid framework for rapid evaluation of wind environment around buildings through parametric design, CFD simulation, image processing and machine learning". Sustainable Cities and Society, 73. doi:10.1016/j.scs.2021.103092
- Ding, W., Pedrycz, W., Yen, G. G., & Xue, B. (2021) "Guest Editorial Evolutionary Computation Meets Deep Learning". IEEE Transactions on Evolutionary Computation, 25(5), 810-814. doi:10.1109/TEVC.2021.3096336
- Chen, X., Sun, Y., Zhang, M., & Peng, D. (2021) "Evolving Deep Convolutional Variational Autoencoders for Image Classification". IEEE Transactions on Evolutionary Computation, 25(5), 815-829. doi:10.1109/TEVC.2020.3047220
- Abdollahi, M., Gao, X., Mei, Y., Ghosh, S., Li, J., & Narag, M. (2021) "Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques". Artificial Intelligence in Medicine, 120. doi:10.1016/j.artmed.2021.102167
- Liu, Y., *Browne, W. N.*, & Xue, B. (2021) "A Comparison of Learning Classifier Systems’ Rule Compaction Algorithms for Knowledge Visualization". ACM Transactions on Evolutionary Learning and Optimization, 1(3), 1-38. doi:10.1145/3468166
- Zhang, F. (2021) "Genetic Programming Hyper-heuristics for Dynamic Flexible Job Shop Scheduling". __.
- Lensen, A., Xue, B., & Zhang, M. (2021) "Genetic Programming for Manifold Learning: Preserving Local Topology". Retrieved from http://dx.doi.org/10.1109/TEVC.2021.
- Zhang, F., Mei, Y., Nguyen, S., Zhang, M., & Tan, K. C. (2021) "Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Evolutionary Computation, 25(4), 651-665. doi:10.1109/TEVC.2021.3065707
- Sun, Y., Zhang, M., & Yen, G. G. (2021) "Evolutionary Neural Architecture Search and Applications [Guest Editorial]". IEEE Computational Intelligence Magazine, 16(3), 8-9. doi:10.1109/MCI.2021.3084391
- Peng, B., Bi, Y., Xue, B., Zhang, M., & Wan, S. (2021) "Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]". IEEE Computational Intelligence Magazine, 16(3), 79-94. doi:10.1109/MCI.2021.3084495
- Ai, Q., Zuo, X., Chen, G., & Wu, B. (2021) "Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable". arXiv.
- Zhang, M., & Cagnoni, S. (2021) "Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition". In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 1169-1198). doi:10.1145/3449726.3461412
- Xue, B., & Zhang, M. (2021) "Evolutionary computation for feature selection and feature construction". In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 1141-1168). doi:10.1145/3449726.3461415
- Wang, B., Xue, B., & Zhang, M. (2021) "A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks". In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 287-288). doi:10.1145/3449726.3459455
