Software & Codes
Our main research outputs, including a range of domain-specific and general-purpose optimization solvers, are available as open-source software. For detailed introductions and user manuals, please refer to the corresponding source code repositories and project homepages.
GPU-based Algorithms
| Algorithm | Description |
|---|---|
| PDBO | A primal-dual algorithm for solving unconstrained binary optimization problems |
| MAPE | A fast GPU-based method for nonlinear integer programming |
AI-Assisted Algorithms
| Algorithm | Description |
|---|---|
| IPM-LSTM | A learning-based interior point method for nonlinear programming |
| SymILO | A symmetry-aware learning framework for integer linear optimization |
| ROS | A GNN-based relax-optimize-and-sample framework for Max-k-Cut |
| Predict-and-Search | A GNN-guided predict-and-search framework for mixed-integer linear programming |
Power Systems Optimization
| Algorithm | Description |
|---|---|
| Approximate-and-Optimize | An approximate-and-optimize method for security-constrained optimal power flow |
| Relax-and-Cut | A relax-and-cut approach for addressing SCUC |
| FOM-SCUC | A successive fixing approach for SCUC using first-order methods |