Code for NeurIPS2023 Paper: Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization
Quick Start
- To train a model, such as MOTSP with 20 nodes, set TSP_SIZE=20 and MODE=1 in HYPER_PARAMS.py, and then run run.py in the corresponding folder.
- To fine-tune and test a model, such as MOTSP with 20 nodes, set TSP_SIZE=20 and MODE=2 in HYPER_PARAMS.py, and then run run.py in the corresponding folder.
- Pretrained models for each problem can be found in the result folder.
Reference
If our work is helpful for your research, please cite our paper:
@inproceedings{chen2023efficient,
title={Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization},
author={Chen, Jinbiao and Wang, Jiahai and Zhang, Zizhen and Cao, Zhiguang and Ye, Te and Siyuan, Chen},
booktitle={Advances in Neural Information Processing Systems},
year={2023},
}