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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Bibliographic Details

Published in:	Procedia computer science Vol. 108; pp. 715 - 724
Main Authors:	Boas, Matheus G. Vilas, Santos, Haroldo G., Martins, Rafael de S.O., Merschmann, Luiz H.C.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2017
Subjects:	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 Access:	Get full text
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