Meng Xu
Orcid: 0000-0002-9930-0403Affiliations:
- Victoria University of Wellington, Wellington, New Zealand
According to our database1,
Meng Xu
authored at least 13 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning.
Artif. Intell. Rev., June, 2025
Proceedings of the Genetic and Evolutionary Computation Conference, 2025
Proceedings of the IEEE Congress on Evolutionary Computation, 2025
2024
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles.
IEEE Trans. Evol. Comput., December, 2024
Genetic Programming With Lexicase Selection for Large-Scale Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., October, 2024
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison.
IEEE Comput. Intell. Mag., May, 2024
2023
IEEE Trans. Serv. Comput., 2023
Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
Genetic programming with diverse partner selection for dynamic flexible job shop scheduling.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021