ReDUCE: Reformulation of Mixed Integer Programs using Data from Unsupervised Clusters for Learning Efficient Strategies

Mixed integer convex and nonlinear programs, MICP and MINLP, are expressive but require long solving times. Recent work that combines learning methods on solver heuristics has shown potential to overcome this issue allowing for applications on larger scale practical problems. Gathering sufficient tr...

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Hauptverfasser: Lin, Xuan, Fernandez, Gabriel I, Hong, Dennis W
Format: Artikel
Sprache:eng
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