Reduction of the bilevel stochastic optimization problem with quantile objective function to a mixed‐integer problem

The paper is devoted to the stochastic optimistic bilevel optimization problem with quantile criterion in the upper level problem. If the probability distribution is finite, the problem can be transformed into a mixed‐integer nonlinear optimization problem. We formulate assumptions guaranteeing that...

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Vydáno v:Applied stochastic models in business and industry Ročník 33; číslo 5; s. 544 - 554
Hlavní autoři: Dempe, Stephan, Ivanov, Sergey, Naumov, Andrey
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bognor Regis Wiley Subscription Services, Inc 01.09.2017
Témata:
bilevel optimization
mixed‐integer programming problem
Optimization
Production planning
quantile objective function
stochastic optimization
VaR‐criterion
ISSN:1524-1904, 1526-4025
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Shrnutí:The paper is devoted to the stochastic optimistic bilevel optimization problem with quantile criterion in the upper level problem. If the probability distribution is finite, the problem can be transformed into a mixed‐integer nonlinear optimization problem. We formulate assumptions guaranteeing that an optimal solution exists. A production planning problem is used to illustrate usefulness of the model. Copyright © 2017 John Wiley & Sons, Ltd.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1524-1904
1526-4025
DOI:10.1002/asmb.2254