Tree Search Stabilization by Random Sampling
نویسندگان
چکیده
We discuss the variability in the performance of multiple runs of Mixed Integer Linear solvers, and we concentrate on the one deriving from the use of different optimal bases of the Linear Programming relaxations. We propose a new algorithm exploiting more than one of those bases and we show that different versions of the algorithm can be used to stabilize and improve the performance of the solver.
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