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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

  • DOI - Digital Object Identifier

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

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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