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 | 19 | 2024 |
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 | 18 | 2023 |
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 | 12 | 2024 |
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 | 9 | 2024 |
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 | 5 | 2024 |
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 | 4 | 2024 |
Neural Exploratory Landscape Analysis Z Ma, J Chen, H Guo, YJ Gong International Conference on Learning Representations (ICLR), 2025 | 3 | 2025 |
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 | 3 | 2021 |
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 | 1 | 2024 |
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 |