ReDUCE: Reformulation of Mixed Integer Programs Using Data from Unsupervised Clusters for Learning Efficient Strategies
Xuan Lin,Gabriel I. Fernandez,Dennis W. Hong,Xuan Lin,Gabriel I. Fernandez,Dennis W. Hong
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 training data to employ these methods still present a challenge since getting data from traditional so...
