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math.OC2022★ 2 cited
Yordle: An Efficient Imitation Learning for Branch and Bound
Qingyu Qu, Xijun Li, Yunfan Zhou
Combinatorial optimization problems have aroused extensive research interests due to its huge application potential. In practice, there are highly redundant patterns and characteri…
math.OC2022★ 3 cited
Learning to Reformulate for Linear Programming
Xijun Li, Qingyu Qu, Fangzhou Zhu +4
It has been verified that the linear programming (LP) is able to formulate many real-life optimization problems, which can obtain the optimum by resorting to corresponding solvers…