4 papers
HyP-ASO: A Hybrid Policy-based Adaptive Search Optimization Framework for Large-Scale Integer Linear Programs
Ning Xu, Junkai Zhang, Yang Wu +4
Directly solving large-scale Integer Linear Programs (ILPs) using traditional solvers is slow due to their NP-hard nature. While recent frameworks based on Large Neighborhood Searc…
Code Retrieval for MILP Instance Generation
Tianxing Yang, Huigen Ye, Hua Xu
Mixed-Integer Linear Programming (MILP) is widely used in fields such as scheduling, logistics, and planning. Enhancing the performance of MILP solvers, particularly learning-based…
NeuralQP: A General Hypergraph-based Optimization Framework for Large-scale QCQPs
Zhixiao Xiong, Fangyu Zong, Huigen Ye +1
Machine Learning (ML) optimization frameworks have gained attention for their ability to accelerate the optimization of large-scale Quadratically Constrained Quadratic Programs (QC…
Adaptive Constraint Partition based Optimization Framework for Large-scale Integer Linear Programming(Student Abstract)
Huigen Ye, Hongyan Wang, Hua Xu +2
Integer programming problems (IPs) are challenging to be solved efficiently due to the NP-hardness, especially for large-scale IPs. To solve this type of IPs, Large neighborhood se…