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DTSTART:20221030T030000
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UID:calendar.24906.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260412T004046Z
CREATED:20220606T110103Z
DESCRIPTION:AbstractIn multi-objective mixed-integer convex optimization mu
 ltiple convex objective functions need to be optimized simultaneously whil
 e some of the variables are only allowed to take integer values. In this t
 alk\, we present a new approach to compute an enclosure of the nondominate
 d set of such optimization problems. More precisely\, we decompose the mul
 ti-objective mixed-integer convex optimization problem into several multi-
 objective continuous convex optimization problems\, which we refer to as p
 atches. We then dynamically compute and improve coverages of the nondomina
 ted sets of those patches to finally combine them to obtain an enclosure o
 f the nondominated set of the multi-objective mixed-integer convex optimiz
 ation problem. Additionally\, we introduce a mechanism to reduce the numbe
 r of patches that need to be considered in total.
DTSTART;TZID=Europe/Paris:20220607T150000
DTEND;TZID=Europe/Paris:20220607T150000
LAST-MODIFIED:20220606T130610Z
LOCATION:Aula A7
SUMMARY:Using hybrid patch decomposition to solve multi-objective mixed-int
 eger convex optimization problems - Leo Warnow (TU Ilmenau)
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/24906
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