A Benson-type algorithm for bounded convex vector optimization problems with vertex selection

We present an algorithm for approximately solving bounded convex vector optimization problems. The algorithm provides both an outer and an inner polyhedral approximation of the upper image. It is a modification of the primal algorithm presented by Löhne, Rudloff, and Ulus in 2014. There, vertices of...

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Vydané v:Optimization methods & software Ročník 37; číslo 3; s. 1006 - 1026
Hlavní autori: Dörfler, Daniel, Löhne, Andreas, Schneider, Christopher, Weißing, Benjamin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Abingdon Taylor & Francis 04.05.2022
Taylor & Francis Ltd
Predmet:
90-08
Algorithms
Apexes
Approximation
convex programming
Mathematical analysis
multiple objective optimization
Optimization
polyhedral approximation
Vector optimization
ISSN:1055-6788, 1029-4937
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Shrnutí:We present an algorithm for approximately solving bounded convex vector optimization problems. The algorithm provides both an outer and an inner polyhedral approximation of the upper image. It is a modification of the primal algorithm presented by Löhne, Rudloff, and Ulus in 2014. There, vertices of an already known outer approximation are successively cutoff to improve the approximation error. We propose a new and efficient selection rule for deciding which vertex to cutoff. Numerical examples are provided which illustrate that this method may solve fewer scalar problems overall and therefore may be faster while achieving the same approximation quality.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:1055-6788
1029-4937
DOI:10.1080/10556788.2021.1880579