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publications
Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling
Published in In the Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2021
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Recommended citation: Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang, "Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling." In the Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2021.
Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling
Published in In the Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2022
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Recommended citation: Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang, "Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling." In the Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2022.
Genetic Programming with Diverse Partner Selection for Dynamic Flexible Job Shop Scheduling
Published in In the Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion, 2022
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Recommended citation: Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang, "Genetic Programming with Diverse Partner Selection for Dynamic Flexible Job Shop Scheduling." In the Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion, 2022.
Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling
Published in In the Proceedings of the the IEEE Congress on Evolutionary Computation (CEC), 2022
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Recommended citation: Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang, "Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling." In the Proceedings of the the IEEE Congress on Evolutionary Computation (CEC), 2022.
Genetic Programming for Dynamic Workflow Scheduling in Fog Computing
Published in IEEE Transactions on Services Computing, 2023
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Recommended citation: Meng Xu, Yi Mei, Shiqiang Zhu, Beibei Zhang, Tian Xiang, Fangfang Zhang, Mengjie Zhang, "Genetic Programming for Dynamic Workflow Scheduling in Fog Computing." IEEE Transactions on Services Computing, 2023.
Genetic Programming with Lexicase Selection for Large-scale Dynamic Flexible Job Shop Scheduling
Published in IEEE Transactions on Evolutionary Computation, 2023
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Recommended citation: Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang, "Genetic Programming with Lexicase Selection for Large-scale Dynamic Flexible Job Shop Scheduling." IEEE Transactions on Evolutionary Computation, 2023.
Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling
Published in In the Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion, 2023
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Recommended citation: Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang, "Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling." In the Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion, 2023.
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles
Published in IEEE Transactions on Evolutionary Computation, 2023
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Recommended citation: Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang, "Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles." IEEE Transactions on Evolutionary Computation, 2023.
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling
Published in In the Proceedings of the Australasian Joint Conference on Artificial Intelligence (AJCAI), 2023
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Recommended citation: Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang, "A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling." In the Proceedings of the Australasian Joint Conference on Artificial Intelligence (AJCAI), 2023.
A Preliminary Study of Indicator-Based Genetic Programming for Multi-Objective Dynamic Flexible Scheduling
Published in International Symposium on Computational Intelligence and Industrial Applications, 2024
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Recommended citation: M Xu, "A Preliminary Study of Indicator-Based Genetic Programming for Multi-Objective Dynamic Flexible Scheduling." International Symposium on Computational Intelligence and Industrial Applications, 2024. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:LkGwnXOMwfcC
Advancing Genetic Programming for Learning Scheduling Heuristics
Published in Open Access Te Herenga Waka-Victoria University of Wellington, 2024
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Recommended citation: M Xu, "Advancing Genetic Programming for Learning Scheduling Heuristics." Open Access Te Herenga Waka-Victoria University of Wellington, 2024. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:_FxGoFyzp5QC
Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling
Published in IEEE Transactions on Evolutionary Computation, 2024
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Recommended citation: Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang, "Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling." IEEE Transactions on Evolutionary Computation, 2024.
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison
Published in IEEE Computational Intelligence Magazine, 2024
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Recommended citation: Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang, "Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison." IEEE Computational Intelligence Magazine, 2024.
Pareto Set Learning Through Genetic Programming for Multi-Objective Dynamic Scheduling
Published in IEEE Transactions on Evolutionary Computation, 2025
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Recommended citation: M Xu, Y Mei, F Zhang, YS Ong, M Zhang, "Pareto Set Learning Through Genetic Programming for Multi-Objective Dynamic Scheduling." IEEE Transactions on Evolutionary Computation, 2025. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:UebtZRa9Y70C
Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO
Published in IEEE Congress on Evolutionary Computation (CEC), 2025
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Recommended citation: H Wu, T Wei, L Jiao, M Xu, YS Ong, Y Jin, "Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO." IEEE Congress on Evolutionary Computation (CEC), 2025. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:5nxA0vEk-isC
Dual-Tree Genetic Programming for Automated Discovery of Computing Power Network Scheduling Heuristics
Published in IEEE Congress on Evolutionary Computation (CEC), 2025
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Recommended citation: B Zhao, R Jiao, M Xu, S Liu, C Guo, S Wang, J Wang, "Dual-Tree Genetic Programming for Automated Discovery of Computing Power Network Scheduling Heuristics." IEEE Congress on Evolutionary Computation (CEC), 2025. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:0EnyYjriUFMC
Learn to Optimise for Job Shop Scheduling: A Survey with Comparison Between Genetic Programming and Reinforcement Learning
Published in Artificial Intelligence Review, 2025
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Recommended citation: M Xu, Y Mei, F Zhang, M Zhang, "Learn to Optimise for Job Shop Scheduling: A Survey with Comparison Between Genetic Programming and Reinforcement Learning." Artificial Intelligence Review, 2025. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:Se3iqnhoufwC
Quality Diversity Genetic Programming for Learning Scheduling Heuristics
Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2025
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Recommended citation: M Xu, F Neumann, A Neumann, YS Ong, "Quality Diversity Genetic Programming for Learning Scheduling Heuristics." Proceedings of the Genetic and Evolutionary Computation Conference, 2025. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:8k81kl-MbHgC
EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics
Published in arXiv preprint arXiv:2510.02686, 2025
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Recommended citation: M Xu, J Liu, YS Ong, "EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics." arXiv preprint arXiv:2510.02686, 2025. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:MXK_kJrjxJIC
Evolutionary Competitive Multiobjective Multitasking: One-Pass Optimization of Heterogeneous Pareto Solutions
Published in IEEE Transactions on Evolutionary Computation, 2025
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Recommended citation: Y Li, X Wu, W Gong, M Xu, Y Wang, Q Gu, "Evolutionary Competitive Multiobjective Multitasking: One-Pass Optimization of Heterogeneous Pareto Solutions." IEEE Transactions on Evolutionary Computation, 2025. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:roLk4NBRz8UC
Genetic Programming with Advanced Diverse Partner Selection for Dynamic Scheduling
Published in Expert Systems with Applications, 2026
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Recommended citation: M Xu, Y Mei, F Zhang, YS Ong, M Zhang, "Genetic Programming with Advanced Diverse Partner Selection for Dynamic Scheduling." Expert Systems with Applications, 2026. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:7PzlFSSx8tAC
Niching Genetic Programming for Co-Joint Optimization: A Case Study on Replenishment and Transshipment Policies in Dynamic Multi-Site Inventory Management
Published in Memetic Computing, 2026
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Recommended citation: M Xu, J Chen, DNC Nam, JTW En, TP Siew, OY Soon, "Niching Genetic Programming for Co-Joint Optimization: A Case Study on Replenishment and Transshipment Policies in Dynamic Multi-Site Inventory Management." Memetic Computing, 2026. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:hqOjcs7Dif8C
TransGP: Task-Conditioned Transformer-Guided Genetic Programming for Multitask Dynamic Flexible Job Shop Scheduling
Published in arXiv preprint arXiv:2604.03705, 2026
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Recommended citation: M Xu, J Liu, H Yu, YS Ong, "TransGP: Task-Conditioned Transformer-Guided Genetic Programming for Multitask Dynamic Flexible Job Shop Scheduling." arXiv preprint arXiv:2604.03705, 2026. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xEiY6-AAAAAJ&sortby=pubdate&citation_for_view=xEiY6-AAAAAJ:dhFuZR0502QC
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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