Meng Xu

Orcid: 0000-0002-9930-0403

Affiliations:
  • Victoria University of Wellington, Wellington, New Zealand


According to our database1, Meng Xu authored at least 13 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning.
Artif. Intell. Rev., June, 2025

Quality Diversity Genetic Programming for Learning Scheduling Heuristics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO.
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
Genetic Programming for Dynamic Workflow Scheduling in Fog Computing.
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

Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021


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