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:
- 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
