Robust optimization approach in transportation problem
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
čeština
Název v původním jazyce
Robust optimization approach in transportation problem
Popis výsledku v původním jazyce
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
Název v anglickém jazyce
Robust optimization approach in transportation problem
Popis výsledku anglicky
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
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10102 - Applied mathematics
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
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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Počet stran výsledku
6
Strana od-do
225-230
Název nakladatele
University of Hradec Králové
Místo vydání
Hradec Králové
Místo konání akce
Hradec Králové
Datum konání akce
13. 9. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000427151400039