On relation of possibly efficiency and robust counterparts in interval multiobjective linear programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10365256" target="_blank" >RIV/00216208:11320/17:10365256 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-67308-0_34" target="_blank" >http://dx.doi.org/10.1007/978-3-319-67308-0_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-67308-0_34" target="_blank" >10.1007/978-3-319-67308-0_34</a>
Alternative languages
Result language
angličtina
Original language name
On relation of possibly efficiency and robust counterparts in interval multiobjective linear programming
Original language description
We investigate multiobjective linear programming with uncertain cost coefficients. We assume that lower and upper bounds for uncertain values are known, no other assumption on uncertain costs is needed. We focus on the so called possibly efficiency, which is defined as efficiency of at least one realization of interval coefficients. We show many favourable properties including existence, low computational performance of determining possibly efficient solutions, convexity of the dominance cone or connectedness or the efficiency set. In the second part, we discuss robust optimization approach for dealing with uncertain costs. We show that the corresponding robust counterpart is closely related to possible efficiency.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50201 - Economic Theory
Result continuities
Project
<a href="/en/project/GA13-10660S" target="_blank" >GA13-10660S: Interval methods for optimization problems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Optimization and Decision Science: Methodologies and Applications: ODS, Sorrento, Italy, September 4-7, 2017
ISBN
978-3-319-67308-0
ISSN
2194-1017
e-ISSN
neuvedeno
Number of pages
9
Pages from-to
335-343
Publisher name
Springer
Place of publication
Cham
Event location
Sorrento, Italy
Event date
Sep 4, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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