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Show all publications of the year
2017, with author Gentile C., in the category IASI Research Reports
(or show them all):
IASI Research Report n. 17-01 (Next)
D'Ambrosio C.,
Antonio Frangioni,
Claudio GentileStrengthening the Sequential Convex MINLP Technique by Perspective ReformulationsABSTRACT The Sequential Convex MINLP (SC-MINLP) technique is a solution
method for NonConvex Mixed-Integer NonLinear Problems where the
nonconvexities are separable. It is based on solving a sequence of Con-
vex MINLPs which trade a better and better relaxation of the nonlin-
ear nonconvex part of the problem with the introduction of more and
more piecewise-linear nonconvex terms, and therefore binary variables.
The Convex MINLPs are obtained by separately considering each sep-
arable nonconvex term in the intervals in which it is convex and those
in which it is concave, where the former are left in their original form
while the latter are piecewise-linearized. Because each interval cor-
responds to a semi-continuous variable, we rather propose to modify
the convex terms using the Perspective Reformulation technique to
strengthen the bounds. We show by means of experimental results on
different classes of instances that doing so significantly decreases the
solution time of the Convex MINLPs, which is the most time consum-
ing part of the approach, and has therefore the potential to improving
the overall effectiveness of SC-MINLP.