Dec 23, 2020 · Neural Diving learns a deep neural network to generate multiple partial assignments for its integer variables, and the resulting smaller MIPs ...
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Aug 23, 2021 · Recently, I came across the below paper and found it very interesting. Solving Mixed Integer Programs Using Neural Networks; https://arxiv.org/ ...
Aug 3, 2021 · Here is a quick read: DeepMind & Google Use Neural Networks to Solve Mixed Integer Programs. The code is available on the project GitHub. The ...
Duration: 24:16
Posted: Mar 4, 2021
Posted: Mar 4, 2021
Aug 3, 2021 · In the new paper Solving Mixed Integer Programs Using Neural Networks, a team from DeepMind and Google Research leverages neural networks to ...
Feb 24, 2021 · Large-scale instances! ○ Create smaller MIPs from singleton MIP → Train → Apply model to singleton MIP.
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Oct 10, 2014 · All the above solvers solve Mixed Integer Linear Programs, while some of them (CPLEX, GUROBI and XRESS-MP for sure) can solve Mixed Integer ...
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Mixed Integer Programming (MIP) solvers rely on an array of sophisticated heuristics developed with decades of research to solve large-scale MIP instances ...
Dec 25, 2020 · This paper applies learning to the two key sub-tasks of a MIP solver, generating a high-quality joint variable assignment, and bounding the gap ...
Learning the optimal branching variable in Mixed Integer Linear Programming branch-and-bound algorithms with graph convolutional neural networks and ...
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