Genetic Programming Bibliography entries for Aimin Zhou

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GP coauthors/coeditors: Kangshun Li, Zhangxin (John) Chen, Yuanxiang Li, Tonglin Liu, Hengzhe Zhang, Hu Zhang, Xin Lin, Hong Qian, Qi Chen, Bing Xue, Mengjie Zhang,

Genetic Programming Articles by Aimin Zhou

  1. Hengzhe Zhang and Aimin Zhou and Qi Chen and Bing Xue and Mengjie Zhang. SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning Method. IEEE Transactions on Evolutionary Computation, 28(5):1484-1498, 2024. details

  2. Hengzhe Zhang and Aimin Zhou and Hong Qian and Hu Zhang. PS-Tree: A piecewise symbolic regression tree. Swarm and Evolutionary Computation, 71:101061, 2022. details

  3. Hengzhe Zhang and Aimin Zhou and Hu Zhang. An Evolutionary Forest for Regression. IEEE Transactions on Evolutionary Computation, 26(4):735-749, 2022. details

  4. Hengzhe Zhang and Aimin Zhou and Xin Lin. Interpretable policy derivation for reinforcement learning based on evolutionary feature synthesis. Complex \& Intelligent Systems, 6:741-753, 2020. details

  5. Tonglin Liu and Hengzhe Zhang and Hu Zhang and Aimin Zhou. Information Fusion in Offspring Generation: A Case Study in Gene Expression Programming. IEEE Access, 8:74782-74792, 2020. details

Genetic Programming conference papers by Aimin Zhou

  1. Hengzhe Zhang and Aimin Zhou and Qi Chen and Bing Xue and Mengjie Zhang. Genetic Programming-Based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. In Alberto Moraglio editor, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 49-50, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  2. Hengzhe Zhang and Aimin Zhou. RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning. In 2021 International Joint Conference on Neural Networks, IJCNN, Shenzhen, China, 2021. IEEE. details

  3. Hu Zhang and Hengzhe Zhang and Aimin Zhou. A Multi-metric Selection Strategy for Evolutionary Symbolic Regression. In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 585-591, 2020. details

  4. Kangshun Li and Zhangxin Chen and Yuanxiang Li and Aimin Zhou. An Application of Genetic Programming to Economic Forecasting. In Current Trends in High Performance Computing and Its Applications, 2005. Springer. details