# Efficient primal heuristics for mixed-integer linear programs

arXiv: https://arxiv.org/abs/2202.02725 · HTML: https://mlsanity.com/paper/2202.02725/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Feb 2022.

## Built on by (most cited first, 1 of 1)

- [Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems](https://mlsanity.com/paper/2206.06789/) (2022)

## Abstract (arXiv)

This paper is a short report about our work for the primal task in the Machine Learning for Combinatorial Optimization NeurIPS 2021 Competition. For each dataset of our interest in the competition, we propose customized primal heuristic methods to efficiently identify high-quality feasible solutions. The computational studies demonstrate the superiority of our proposed approaches over the competitors'.