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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Vydané v:	Procedia computer science Ročník 108; s. 715 - 724
Hlavní autori:	Boas, Matheus G. Vilas, Santos, Haroldo G., Martins, Rafael de S.O., Merschmann, Luiz H.C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 2017
Predmet:	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
On-line prístup:	Získať plný text
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