MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library

  • We report on the selection process leading to the sixth version of the Mixed Integer Programming Library, MIPLIB 2017. Selected from an initial pool of 5721 instances, the new MIPLIB 2017 collection consists of 1065 instances. A subset of 240 instances was specially selected for benchmarking solver performance. For the first time, these sets were compiled using a data-driven selection process supported by the solution of a sequence of mixed integer optimization problems, which encode requirements on diversity and balancedness with respect to instance features and performance data.

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Metadaten
Author:Ambros GleixnerORCiD, Gregor HendelORCiD, Gerald GamrathORCiD, Tobias Achterberg, Michael BastubbeORCiD, Timo BertholdORCiD, Philipp ChristophelORCiD, Kati Jarck, Thorsten KochORCiD, Jeff LinderothORCiD, Marco LübbeckeORCiD, Hans D. MittelmannORCiD, Derya OzyurtORCiD, Ted K. RalphsORCiD, Domenico SalvagninORCiD, Yuji ShinanoORCiD
DOI:https://doi.org/10.1007/s12532-020-00194-3
ISSN:1867-2949
Parent Title (English):Mathematical Programming Computation
Publisher:Springer Science and Business Media LLC
Document Type:Article
Language:English
Year of Completion:2021
Volume:13
Issue:3
Page Number:48
First Page:443
Last Page:490
Mathematical Programming Computation :MPC 2021 - Issue 3
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