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

Autor:	Michael Bastubbe, Marco E. Lübbecke, Ambros M. Gleixner, Jeff Linderoth, Timo Berthold, Ted K. Ralphs, Hans D. Mittelmann, Yuji Shinano, Gregor Hendel, Thorsten Koch, Kati Jarck, Gerald Gamrath, Domenico Salvagnin, Philipp M. Christophel, Derya B. Özyurt, Tobias Achterberg
Rok vydání:	2021
Předmět:	Sequence Optimization problem Theoretical computer science Selection (relational algebra) Computer science Instance library Benchmarking MIP Mixed integer linear optimization Selection methodology Solver Theoretical Computer Science Data-driven Theory of computation ddc:004 Integer programming Software Integer (computer science)
Zdroj:	Mathematical programming computation : MPC 13(3), 443-490 (2021). doi:10.1007/s12532-020-00194-3
ISSN:	1867-2957 1867-2949
Popis:	Mathematical programming computation : MPC (2021). doi:10.1007/s12532-020-00194-3 Published by Springer, Berlin ; Heidelberg
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3094d754be2146d9114ecd9f4969c1f https://doi.org/10.1007/s12532-020-00194-3 Zobrazit plný text záznamu Full text from SpringerLink