Evolutionary Computation Research Group: Publications

Our publications are organised by year, or you can see the full list here.

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:

  • 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