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MIP-2016_regression

MIP-2016_regression

in_preparation ARFF Publicly available Visibility: public Uploaded 12-04-2019 by Mia Rhodes
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source: http://plato.asu.edu/ftp/solvable.html authors: Rolf-David Bergdoll PAR10 performances of modern solvers on the solvable instances of MIPLIB2010. http://miplib.zib.de/ The algorithm runtime data was directly taken from the '12 threads' table of H. Mittelmann's evaluations. The features were generated using the MIP feature computation code from http://www.cs.ubc.ca/labs/beta/Projects/EPMs/ To record runtimes of the feature computations, runsolver was used: http://www.cril.univ-artois.fr/~roussel/runsolver/ Part of Open Algorithm Challenge 2017 ("Mira").

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9 tasks

Clustering on MIP-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MIP-2016_regression
0 runs - estimation_procedure: 50 times Clustering
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