This is the code of CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction. Tianle Pu, Jianing Li, Yingying Gao, Shixuan Liu, Zijie Geng, Haoyang Liu, Chao ...

Abstract: Mixed integer linear programming (MILP) is a powerful tool for planning and control problems because of its modeling capability and the availability of good solvers. However, for large ...

Efficiently tackling complex optimization problems, ranging from global package routing to power grid management, has been a persistent challenge. Traditional methods, notably mixed-integer linear ...

For MILP algorithms that do not model buffer delay, solving time can be significantly reduced by precomputing the optimal throughput. The MILP constraints are divided into two categories: timing ...

Researchers from MIT and ETH Zurich have developed a machine learning-based technique to speed up the optimization process used by companies like FedEx for routing packages. This approach, which ...