Evolutionary Computation and Machine Learning Research Group: Publications

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

2024 2023 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:

  • Yu, W., Yang, J., Sun, D., Ren, J., Xue, B., Sun, W., . . . Li, X. (2024) "How urban heat island magnifies hot day exposure: Global unevenness derived from differences in built landscape". Science of the Total Environment, 945. doi:10.1016/j.scitotenv.2024.174043
  • Yang, Y., Chen, G., Ma, H., Hartmann, S., & Zhang, M. (2024) "Enhancing generalization in genetic programming hyper-heuristics through mini-batch sampling strategies for dynamic workflow scheduling". Information Sciences, 678. doi:10.1016/j.ins.2024.120975
  • Qu, H., Wang, G. G., Li, Y., Qi, X., & Zhang, M. (2024) "ConvFishNet: An efficient backbone for fish classification from composited underwater images". Information Sciences, 679. doi:10.1016/j.ins.2024.121078
  • Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2024) "Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression". In Proceedings of the Genetic and Evolutionary Computation Conference. ACM. doi:10.1145/3638529.3654075
  • Yan, L. F., Ma, H., & Chen, G. (2024) "Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds". In Proceedings of the Genetic and Evolutionary Computation Conference. ACM. doi:10.1145/3638529.3654058
  • Wei, J., Xue, B., & Zhang, M. (2024) "EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation". In Proceedings of the Genetic and Evolutionary Computation Conference. ACM. doi:10.1145/3638529.3654041
  • Ul Ain, Q., Al-Sahaf, H., Xue, B., & Zhang, M. (2024) "Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach". In Proceedings of the Genetic and Evolutionary Computation Conference. ACM. doi:10.1145/3638529.3654071
  • Pei, J., Liu, J., & Mei, Y. (2024) "Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework". In Proceedings of the Genetic and Evolutionary Computation Conference. ACM. doi:10.1145/3638529.3654062
  • Nguyen, S., Thiruvady, D., Sun, Y., & Zhang, M. (2024) "Genetic-based Constraint Programming for Resource Constrained Job Scheduling". In Proceedings of the Genetic and Evolutionary Computation Conference. ACM. doi:10.1145/3638529.3654046
  • Liu, Y., Cui, Y., Cheng, W., Browne, W. N., Xue, B., Zhu, C., . . . Zeng, L. (2024) "A Phenotypic Learning Classifier System for Problems with Continuous Features". In Proceedings of the Genetic and Evolutionary Computation Conference. ACM. doi:10.1145/3638529.3654007
  • Liao, X. -C., Mei, Y., & Zhang, M. (2024) "Learning Traffic Signal Control via Genetic Programming". In Proceedings of the Genetic and Evolutionary Computation Conference. ACM. doi:10.1145/3638529.3654037
  • Falloon, M., Ma, H., & Chen, A. (2024) "Energy-Aware Dynamic Resource Allocation and Container Migration in Cloud Servers: A Co-evolution GPHH Approach". In Proceedings of the Genetic and Evolutionary Computation Conference. ACM. doi:10.1145/3638529.3654070
  • Zong, F., Wang, L., Liu, H., Xue, B., Bai, R., & Liu, Y. (2024) "A genetic optimisation and iterative reconstruction framework for sparse multi-dimensional diffusion–relaxation correlation MRI". Computers in Biology and Medicine, 175. doi:10.1016/j.compbiomed.2024.108508
  • Zhao, H., Zhang, C., Xue, B., Zhang, M., & Zhang, B. (2024) "A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation". IEEE Transactions on Evolutionary Computation, 28(3), 810-824. doi:10.1109/TEVC.2022.3231387
  • Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2024) "A geometric semantic macro-crossover operator for evolutionary feature construction in regression". Genetic Programming and Evolvable Machines, 25(1). doi:10.1007/s10710-023-09465-z
  • Zhai, R., Mei, Y., Guo, T., & Du, W. (2024) "A Collaborative Drone-Truck Delivery System With Memetic Computing Optimization". IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(6), 3618-3630. doi:10.1109/TSMC.2024.3371471
  • Sun, Y., Xue, B., Zhang, M., & Yen, G. G. (2024) "Guest Editorial Evolutionary Neural Architecture Search". IEEE Transactions on Evolutionary Computation, 28(3), 566-569. doi:10.1109/TEVC.2024.3388280
  • Mostofi, A., Jain, V., Kumar, S., Mei, Y., & Chandra, C. (2024) "RETRACTED ARTICLE: A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran(Annals of Operations Research, (2024), 337, (S23–S24))". Annals of Operations Research, 337(Suppl 1), 23-24. doi:10.1007/s10479-023-05360-z
  • Meng, W., Li, Y., Gao, X., & Ma, J. (2024) "Ensemble classifiers using multi-objective Genetic Programming for unbalanced data". Applied Soft Computing, 158. doi:10.1016/j.asoc.2024.111554
  • Huang, Z., Mei, Y., Zhang, F., Zhang, M., & Banzhaf, W. (2024) "Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling". Genetic Programming and Evolvable Machines, 25(1). doi:10.1007/s10710-023-09478-8