壹号娱乐-com

教育与工作经历

2026.04-至今     北京理工大学 壹号娱乐 准聘教授 博士生导师

2024.10-2026.02  新加坡南洋理工大学 计算机学院 博士后 导师：Ong Yew Soon教授（与A*STAR工作同期开展） 

2024.07-2026.02  新加坡科技研究局A*STAR SIMTech Scientist（初级研究员） 

2020.11-2024.07 新西兰惠灵顿维多利亚大学 计算机学院 博士 导师：Yi Mei教授,Fangfang Zhang讲师，Mengjie Zhang教授

2017.9-2020.07   北京理工大学 壹号娱乐 硕士 导师：辛斌教授，窦丽华教授

2013.9-2017.07   北京理工大学 壹号娱乐 学士

 

研究方向

理论研究：

1）智能优化调度（Dynamic Scheduling）

2）自动算法设计，遗传编程（Genetic Programming）,进化计算（Evolutionary Computation）

3）多智能体协同任务分配等

应用研究：动态柔性车间调度，云计算调度，库存管理，多无人机/无人车任务分配等。

更多研究工作详见个人主页：https://mengxu95.github.io/

欢迎对我们的研究工作感兴趣的博士生、硕士生和本科生申请者与我邮件联系。

近5年承担的科研项目

1.国家自然青年科学基金项目（B类）[优秀青年科学基金项目（海外）]：复杂调度问题的算法自动设计理论与方法，时间：2026-2028，主持

代表性学术论文

[1]Meng Xu, Jiao Liu, and Yew Soon Ong. "EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics." IEEE Transactions on Evolutionary Computation, 2026. DOI: 10.1109/TEVC.2026.3705492.

[2]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.

[3]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.

[4]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. 

[5]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.

[6]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.

[7]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.

[8]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.

[9]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.

[10]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.

[11]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.

[12]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 (GECCO), 2025. DOI: 10.1145/3712256.3726343.

[13]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.

[14]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.

[15]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.

[16]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.

[17]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.

[18]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.

授权国家发明专利及出版专著

[1]辛斌, 许萌, 窦丽华, 陈杰, 高冠强. 一种多运动体协同全覆盖路径规划方法. 中国, CN201811324766.X, 2021-01-01.

[2]辛斌, 郭苗, 陈杰, 许萌, 王艺鹏. 一种面向灾难救援任务的大规模无人机快速编组方法. 中国, CN201910024043.6, 2021-05-25.

科研获奖

2027：IEEE计算智能学会杰出论文奖（IEEE Computational Intelligence Magazine Outstanding Paper Award），获奖论文为 "Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison"，合著者包括 Yi Mei、Fangfang Zhang 和 Mengjie Zhang。该奖项包括获奖证书及 1,000 美元奖金；

2025：SIGEVO 学位论文奖（SIGEVO Dissertation Award）：荣誉提名，获奖博士论文为 "Advancing Genetic Programming for Learning Scheduling Heuristics"，奖金 1,000 美元；

2024：论文 "Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution with Single Individuals and Ensembles" 被《IEEE 进化计算汇刊》（IEEE Transactions on Evolutionary Computation）评为热门论文（Popular Paper）；

2024：文章 "Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison" 获得《IEEE 计算智能杂志》（IEEE Computational Intelligence Magazine）研究前沿（Research Frontier）认可。

学术兼职

《Memetic Computing》青年编委；

IEEE CIS 进化调度与组合优化工作组（IEEE CIS Taskforce on Evolutionary Scheduling and Combinatorial Optimisation）委员；

多个国际期刊/会议审稿人：IEEE TEVC,IEEE CIM,IEEE T-ASE,ESWA,SWEVO, CAIS,CSMS, GECCO, CEC等。