Robust optimization approach in transportation problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F17%3A74268" target="_blank" >RIV/60460709:41110/17:74268 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
čeština
Original language name
Robust optimization approach in transportation problem
Original language description
In this paper we get back to the classical transportation problem of Hitchcock and Koopmans while considering some parameters within its mathematical programming formulation to be uncertain. It is a common practice that the both supply and demand of some actors can be indeterminate as well as the evaluation of routes between them in terms of distance and time. There are ways to deal with uncertainty in the linear optimization models such as stochastic optimization or interval programming. These approaches bring also computational difficulties since their practical application is quite demanding. We show how this situation can be handled using robust optimization approach towards modelling of uncertainty. The robust approach is a tool that seeks a robust-optimal solution and it allows, in its extended form, to specify the deviations from deterministic values quite precisely while the entire mathematical model remains simple which is a considerable computational advantage. The way of transformation of
Czech name
Robust optimization approach in transportation problem
Czech description
In this paper we get back to the classical transportation problem of Hitchcock and Koopmans while considering some parameters within its mathematical programming formulation to be uncertain. It is a common practice that the both supply and demand of some actors can be indeterminate as well as the evaluation of routes between them in terms of distance and time. There are ways to deal with uncertainty in the linear optimization models such as stochastic optimization or interval programming. These approaches bring also computational difficulties since their practical application is quite demanding. We show how this situation can be handled using robust optimization approach towards modelling of uncertainty. The robust approach is a tool that seeks a robust-optimal solution and it allows, in its extended form, to specify the deviations from deterministic values quite precisely while the entire mathematical model remains simple which is a considerable computational advantage. The way of transformation of
Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
35th International conference Mathematical methods in economics, MME 2017, Conference proceedings
ISBN
978-80-7435-678-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
225-230
Publisher name
University of Hradec Králové
Place of publication
Hradec Králové
Event location
Hradec Králové
Event date
Sep 13, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000427151400039