Meng Xu (许萌)

Meng Xu (许萌)

she/her

Professor in AI Scheduling and Evolutionary Computation

Publications

The complete and latest publication list is also available on my Google Scholar profile.

Journal Papers

  1. Meng Xu, Yi Mei, Fangfang Zhang, Yew Soon Ong, and Mengjie Zhang. "Genetic Programming with Advanced Diverse Partner Selection for Dynamic Scheduling." Expert Systems with Applications, 2026. DOI: 10.1016/j.eswa.2026.132158.
  2. Meng Xu, Jinsheng Chen, Nam Doan, Joel Tay, Puay Siew Tan, and Yew Soon Ong. "Niching Genetic Programming for Co-Joint Optimization: A Case Study on Replenishment and Transshipment Policies in Dynamic Multi-Site Inventory Management." Memetic Computing, 2026.
  3. Yanchi Li, Xinyi Wu, Wenyin Gong, Meng Xu, Yubo Wang, and Qiong Gu. "Evolutionary Competitive Multiobjective Multitasking: One-Pass Optimization of Heterogeneous Pareto Solutions." IEEE Transactions on Evolutionary Computation, 2025. DOI: 10.1109/TEVC.2024.3524508.
  4. Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Learn to Optimise for Job Shop Scheduling: A Survey with Comparison Between Genetic Programming and Reinforcement Learning." Artificial Intelligence Review, 2025. DOI: 10.1007/s10462-024-11059-9.
  5. Meng Xu, Yi Mei, Fangfang Zhang, Yew Soon Ong, and Mengjie Zhang. "Pareto Set Learning Through Genetic Programming for Multi-Objective Dynamic Scheduling." IEEE Transactions on Evolutionary Computation, 2025. DOI: 10.1109/TEVC.2025.3568375.
  6. Meng Xu, Yi Mei, Fangfang Zhang*, and Mengjie Zhang. "Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison." IEEE Computational Intelligence Magazine, vol. 19, no. 2, pp. 18-33, 2024. DOI: 10.1109/MCI.2024.3363970. Research Frontier.
  7. Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling." IEEE Transactions on Evolutionary Computation, 2024.
  8. Meng Xu, Yi Mei, Fangfang Zhang*, and Mengjie Zhang. "Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution with Single Individuals and Ensembles." IEEE Transactions on Evolutionary Computation, vol. 28, no. 6, pp. 1761-1775, 2024. DOI: 10.1109/TEVC.2023.3334626. Selected as a Popular Paper.
  9. Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Genetic Programming with Lexicase Selection for Large-scale Dynamic Flexible Job Shop Scheduling." IEEE Transactions on Evolutionary Computation, 2023.
  10. Meng Xu, Yi Mei, Shiqiang Zhu, Beibei Zhang, Tian Xiang, Fangfang Zhang, and Mengjie Zhang. "Genetic Programming for Dynamic Workflow Scheduling in Fog Computing." IEEE Transactions on Services Computing, 2023.

Conference Papers

  1. Meng Xu, Frank Neumann, Aneta Neumann, and Yew Soon Ong. "Quality Diversity Genetic Programming for Learning Scheduling Heuristics." Proceedings of the Genetic and Evolutionary Computation Conference, 2025. DOI: 10.1145/3712256.3726343.
  2. Haofeng Wu, Tingyang Wei, Jiao Liu, Meng Xu, Yew-Soon Ong, and Yaochu Jin. "Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO." IEEE Congress on Evolutionary Computation (CEC), 2025. DOI: 10.1109/CEC65147.2025.11043126.
  3. Benjie Zhao, Ruwang Jiao, Meng Xu, Shuaishuai Liu, Chao Guo, Shaolin Wang, and Jin Wang. "Dual-Tree Genetic Programming for Automated Discovery of Computing Power Network Scheduling Heuristics." IEEE Congress on Evolutionary Computation (CEC), 2025. DOI: 10.1109/CEC65147.2025.11042945.
  4. Meng Xu. "A Preliminary Study of Indicator-Based Genetic Programming for Multi-Objective Dynamic Flexible Scheduling." International Symposium on Computational Intelligence and Industrial Applications, 2024.
  5. Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling." Australasian Joint Conference on Artificial Intelligence (AJCAI), 2023.
  6. Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Multi-Objective Genetic Programming Based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling." ACM Genetic and Evolutionary Computation Conference (GECCO) Companion, 2023.
  7. Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling." IEEE Congress on Evolutionary Computation (CEC), 2022.
  8. Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Genetic Programming with Diverse Partner Selection for Dynamic Flexible Job Shop Scheduling." ACM Genetic and Evolutionary Computation Conference (GECCO) Companion, 2022.
  9. Meng Xu, Fangfang Zhang, Yi Mei, and Mengjie Zhang. "Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling." IEEE Congress on Evolutionary Computation (CEC), 2022.
  10. Meng Xu, Fangfang Zhang, Yi Mei, and Mengjie Zhang. "Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling." IEEE Congress on Evolutionary Computation (CEC), 2021.

Preprints

  1. Meng Xu, Jing Liu, Han Yu, and Yew Soon Ong. "TransGP: Task-Conditioned Transformer-Guided Genetic Programming for Multitask Dynamic Flexible Job Shop Scheduling." arXiv preprint arXiv:2604.03705, 2026.
  2. Meng Xu, Jing Liu, and Yew Soon Ong. "EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics." arXiv preprint arXiv:2510.02686, 2025.

Thesis

  1. Meng Xu. "Advancing Genetic Programming for Learning Scheduling Heuristics." PhD thesis, Te Herenga Waka-Victoria University of Wellington, 2024. 2025 SIGEVO Dissertation Award, Honorable Mention.

Patents

  1. Bin Xin, Meng Xu, Lihua Dou, Jie Chen, and Guanqiang Gao. 一种多运动体协同全覆盖路径规划方法. China, CN201811324766.X, 2021-01-01.
  2. Bin Xin, Miao Guo, Jie Chen, Meng Xu, and Yipeng Wang. 一种面向灾难救援任务的大规模无人机快速编组方法. China, CN201910024043.6, 2021-05-25.
  3. Meng Xu and Jinsheng Chen. Automated Learning of Transshipment and Replenishment Policies for Dynamic Multi-Site Inventory Management. TD-SIMT-CPPS-24-00403, 2025-03-17.

Software Copyright

  1. Beijing Institute of Technology. 基于遗传算法的多无人机协同搜索路径规划软件V1.0. Registration no. 2020SR1634593, original acquisition, all rights, 2020-06-22.
  2. Beijing Institute of Technology. 基于规则的多无人机协同搜索路径规划软件V1.0. Registration no. 2020SR1634592, original acquisition, all rights, 2020-06-22.
  3. Beijing Institute of Technology. 基于策略的多无人机目标跟踪路径规划软件V1.0. Registration no. 2020SR1634594, original acquisition, all rights, 2020-06-22.