Data Mining Approach for Feature Based Parameter Tunning for Mixed-Integer Programming Solvers

Integer Programming (IP) is the most successful technique for solving hard combinatorial optimization problems. Modern IP solvers are very complex programs composed of many different procedures whose execution is embedded in the generic Branch & Bound framework. The activation of these procedure...

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Veröffentlicht in:	Procedia computer science Jg. 108; S. 715 - 724
Hauptverfasser:	Boas, Matheus G. Vilas, Santos, Haroldo G., Martins, Rafael de S.O., Merschmann, Luiz H.C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2017
Schlagworte:	coin-or branch cut data mining feature based parameter tunning mixed-integer programming regression algorithms mixed-integer programming cut coin-or branch regression algorithms data mining feature based parameter tunning
ISSN:	1877-0509, 1877-0509
Online-Zugang:	Volltext
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