Följ
Zeyuan Ma
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LLaMoCo: Instruction tuning of large language models for optimization code generation
Z Ma, H Guo, J Chen, G Peng, Z Cao, Y Ma, YJ Gong
arXiv preprint arXiv:2403.01131, 2024
192024
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning
Z Ma, H Guo, J Chen, Z Li, G Peng, YJ Gong, Y Ma, Z Cao
Advances in Neural Information Processing Systems (NeurIPS) 36, 2023
182023
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution
H Guo, Y Ma, Z Ma, J Chen, X Zhang, Z Cao, J Zhang, YJ Gong
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024
122024
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
J Chen, Z Ma, H Guo, Y Ma, J Zhang, Y Gong
International Conference on Learning Representations (ICLR), 2024
92024
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning
Z Ma, J Chen, H Guo, Y Ma, YJ Gong
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
52024
RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning
H Lian, Z Ma, H Guo, T Huang, YJ Gong
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
42024
Neural Exploratory Landscape Analysis
Z Ma, J Chen, H Guo, YJ Gong
International Conference on Learning Representations (ICLR), 2025
32025
An efficient computational approach for automatic itinerary planning on web servers
Z Ma, H Guo, Y Gui, YJ Gong
Proceedings of the genetic and evolutionary computation conference, 991-999, 2021
32021
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Z Ma, H Guo, YJ Gong, J Zhang, KC Tan
arXiv preprint arXiv:2411.00625, 2024
12024
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
H Guo, Z Ma, J Chen, Y Ma, Z Cao, X Zhang, YJ Gong
39th AAAI Conference on Artificial Intelligence (AAAI), 2025
2025
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Artiklar 1–10