Jul 17, 2013 · We show how to exploit these features to decide the best time to switch the branching heuristic and then show how such a system can be trained ...
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Highlights · We introduce a learning framework for solving general mixed-integer problems (MIP). · We analyze the tree-search and visualize the evolution of the ...
DASH: Dynamic Approach for Switching Heuristics - ScienceDirect
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Feb 1, 2016 · The rationale behind this strategy is to make decisions on variables that deterministic analysis is least certain about. This heuristic strives ...
This thesis introduces a Dynamic Approach for Switching Heuristics (DASH). Using. MIP as the running example, it is shown how to automatically determine when ...
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In this paper we identify a feature space that captures both the evolution of the problem in the branching tree and the similarity among sub-problems of ...
We show how to exploit these features to decide the best time to switch the branching heuristic and then show how such a system can be trained efficiently.
This paper presents new heuristics that increase the probability of manifesting concurrent bugs. The heuristics are based on cross-run monitoring. A contended ...
Complete tree search is a highly effective method for tackling combinatorial optimization and satisfaction problems. Over the years, a plethora of branching ...
Title, DASH: Dynamic Approach for Switching Heuristics ; Publication Type, Journal Article ; Year of Publication, 2013 ; Authors, Di Liberto G, Kadioglu S, Leo K, ...
We show how to exploit these features on-the-fly in order to decide the best time to switch the branching variable selection heuristic and then show how such a ...