7 citations · 13 across the 6 of their papers we have counts for
6 papers
Machine Learning-Enhanced Ant Colony Optimization for Column Generation
Hongjie Xu, Yunzhuang Shen, Yuan Sun +1
Column generation (CG) is a powerful technique for solving optimization problems that involve a large number of variables or columns. This technique begins by solving a smaller pro…
Adaptive Stabilization Based on Machine Learning for Column Generation
Yunzhuang Shen, Yuan Sun, Xiaodong Li +3
Column generation (CG) is a well-established method for solving large-scale linear programs. It involves iteratively optimizing a subproblem containing a subset of columns and usin…
Adaptive Solution Prediction for Combinatorial Optimization
Yunzhuang Shen, Yuan Sun, Xiaodong Li +2
This paper aims to predict optimal solutions for combinatorial optimization problems (COPs) via machine learning (ML). To find high-quality solutions efficiently, existing work use…
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring
Yunzhuang Shen, Yuan Sun, Xiaodong Li +2
Column Generation (CG) is an effective method for solving large-scale optimization problems. CG starts by solving a sub-problem with a subset of columns (i.e., variables) and gradu…
Learning Primal Heuristics for Mixed Integer Programs
Yunzhuang Shen, Yuan Sun, Andrew Eberhard +1
This paper proposes a novel primal heuristic for Mixed Integer Programs, by employing machine learning techniques. Mixed Integer Programming is a general technique for formulating…
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning
Yuan Sun, Sheng Wang, Yunzhuang Shen +3
This paper introduces an enhanced meta-heuristic (ML-ACO) that combines machine learning (ML) and ant colony optimization (ACO) to solve combinatorial optimization problems. To ill…