Evolutionary Computation and Machine Learning 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:

  • Ali, M., Chen, Y., Cree, M. J., & Zhang, M. (2022) "In vivo computation with sensor fusion and search acceleration for smart tumor homing". Computers in Biology and Medicine, 148. doi:10.1016/j.compbiomed.2022.105887
  • Zhang, Y., Mei, Y., Huang, S., Zheng, X., & Zhang, C. (2022) "A Route Clustering and Search Heuristic for Large-Scale Multidepot-Capacitated Arc Routing Problem". IEEE Transactions on Cybernetics, 52(8), 8286-8299. doi:10.1109/TCYB.2020.3043265
  • Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2022) "Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Cybernetics, 52(8), 8142-8156. doi:10.1109/TCYB.2021.3050141
  • Sun, Y., Yen, G. G., Xue, B., Zhang, M., & Lv, J. (2022) "ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures". IEEE Transactions on Artificial Intelligence, 3(4), 526-540. doi:10.1109/TAI.2021.3128502
  • Shi, T., Ma, H., Chen, G., & Hartmann, S. (2022) "Cost-Effective Web Application Replication and Deployment in Multi-Cloud Environment". IEEE Transactions on Parallel and Distributed Systems, 33(8), 1982-1995. doi:10.1109/TPDS.2021.3133884
  • Lensen, A., Xue, B., & Zhang, M. (2022) "Genetic Programming for Manifold Learning: Preserving Local Topology". IEEE Transactions on Evolutionary Computation, 26(4), 661-675. doi:10.1109/TEVC.2021.3106672
  • Gao, G., Mei, Y., Jia, Y. H., Browne, W. N., & Xin, B. (2022) "Adaptive Coordination Ant Colony Optimization for Multipoint Dynamic Aggregation". IEEE Transactions on Cybernetics, 52(8), 7362-7376. doi:10.1109/TCYB.2020.3042511
  • Bi, Y., Xue, B., & Zhang, M. (2022) "Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification". IEEE Transactions on Cybernetics, 52(8), 8272-8285. doi:10.1109/TCYB.2021.3049778
  • Barracchia, E. P., Pio, G., Bifet, A., Gomes, H. M., Pfahringer, B., & Ceci, M. (2022) "LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding". Information Sciences, 606, 702-721. doi:10.1016/j.ins.2022.05.079
  • Ardeh, M. A., Mei, Y., & Zhang, M. (2022) "Genetic Programming with Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem". IEEE Transactions on Evolutionary Computation, 26(4), 765-779. doi:10.1109/TEVC.2021.3129278
  • Zhu, J., Jang-Jaccard, J., Welch, I., Al-Sahaf, H., & Camtepe, S. (2022) "A Ransomware Triage Approach using a Task Memory based on Meta-Transfer Learning Framework". __.
  • Zhang, M., & Cagnoni, S. (2022) "Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition". In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM. doi:10.1145/3520304.3533636
  • Zeng, P., Lensen, A., & Sun, Y. (2022) "Large scale image classification using GPU-based genetic programming". In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM. doi:10.1145/3520304.3528892
  • Xue, B., & Zhang, M. (2022) "Evolutionary computation for feature selection and feature construction". In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM. doi:10.1145/3520304.3533659
  • Xu, M., Mei, Y., Zhang, F., & Zhang, M. (2022) "Genetic programming with diverse partner selection for dynamic flexible job shop scheduling". In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM. doi:10.1145/3520304.3528920
  • Liu, Y., Browne, W. N., & Xue, B. (2022) "A comparison of rule compaction algorithms for michigan style learning classifier systems". In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM. doi:10.1145/3520304.3534068
  • Lin, J., Chen, Q., Xue, B., & Zhang, M. (2022) "Multi-task optimisation for multi-objective feature selection in classification". In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM. doi:10.1145/3520304.3528903
  • John, T. C., Abbasi, M. S., Al-Sahaf, H., & Welch, I. (2022) "Automatically evolving malice scoring models through utilisation of genetic programming". In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM. doi:10.1145/3520304.3529063
  • Ðurasević, M., Jakobović, D., Mei, Y., Nguyen, S., & Zhang, M. (2022) "Introduction to automated design of scheduling heuristics with genetic programming". In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM. doi:10.1145/3520304.3533667
  • Demir, K., Nguyen, B. H., Xue, B., & Zhang, M. (2022) "Particle swarm optimisation for sparsity-based feature selection in multi-label classification". In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM. doi:10.1145/3520304.3529074