Accelerating primal solution findings for mixed integer programs based on solution prediction

JY Ding, C Zhang, L Shen, S Li, B Wang, Y Xu… - Proceedings of the aaai …, 2020 - ojs.aaai.org
Abstract Mixed Integer Programming (MIP) is one of the most widely used modeling
techniques for combinatorial optimization problems. In many applications, a similar MIP …

Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction

JY Ding, C Zhang, L Shen, S Li, B Wang, Y Xu… - Proceedings of the AAAI …, 2020 - aaai.org
Abstract Mixed Integer Programming (MIP) is one of the most widely used modeling
techniques for combinatorial optimization problems. In many applications, a similar MIP …

Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction

JY Ding, C Zhang, L Shen, S Li, B Wang, Y Xu… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Abstract Mixed Integer Programming (MIP) is one of the most widely used modeling
techniques for combinatorial optimization problems. In many applications, a similar MIP …

[PDF][PDF] Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction

JY Ding, C Zhang, L Shen, S Li, B Wang, Y Xu, L Song - 2020 - scholar.archive.org
Abstract Mixed Integer Programming (MIP) is one of the most widely used modeling
techniques for combinatorial optimization problems. In many applications, a similar MIP …

Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction

JY Ding, C Zhang, L Shen, S Li, B Wang, Y Xu… - arXiv preprint arXiv …, 2019 - arxiv.org
Mixed Integer Programming (MIP) is one of the most widely used modeling techniques for
combinatorial optimization problems. In many applications, a similar MIP model is solved on …

[PDF][PDF] Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction

JY Ding, C Zhang, L Shen, S Li, B Wang, Y Xu, L Song - 2020 - cdn.aaai.org
Abstract Mixed Integer Programming (MIP) is one of the most widely used modeling
techniques for combinatorial optimization problems. In many applications, a similar MIP …