A deep instance generative framework for milp solvers under limited data availability

Z Geng, X Li, J Wang, X Li… - Advances in Neural …, 2023 - proceedings.neurips.cc
In the past few years, there has been an explosive surge in the use of machine learning (ML)
techniques to address combinatorial optimization (CO) problems, especially mixed-integer …

Machine learning insides optverse ai solver: Design principles and applications

X Li, F Zhu, HL Zhen, W Luo, M Lu, Y Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
In an era of digital ubiquity, efficient resource management and decision-making are
paramount across numerous industries. To this end, we present a comprehensive study on …

G2MILP: Learning to Generate Mixed-Integer Linear Programming Instances for MILP Solvers

J Wang, Z Geng, X Li, J Hao, Y Zhang, F Wu - Authorea Preprints, 2023 - techrxiv.org
There have been significant efforts devoted to developing advanced mixed-integer linear
programming (MILP) solvers, which are powerful tools for solving various real-world …