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Found 2 papers, 2 papers with code
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring
In each iteration of CG, our MLPH leverages an ML model to predict the optimal solution of the pricing problem, which is then used to guide a sampling method to efficiently generate multiple high-quality columns.
Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems
In this paper, we examine the generalization capability of a machine learning model for problem reduction on the classic travelling salesman problems (TSP).
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