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Two-stage stochastic programming approach to a PDE-constrained steel production problem with the moving interface

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F17%3APU126115" target="_blank" >RIV/00216305:26210/17:PU126115 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.kybernetika.cz/content/2017/6/1047" target="_blank" >https://www.kybernetika.cz/content/2017/6/1047</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14736/kyb-2017-6-1047" target="_blank" >10.14736/kyb-2017-6-1047</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Two-stage stochastic programming approach to a PDE-constrained steel production problem with the moving interface

  • Original language description

    The paper is concerned with a parallel implementation of the progressive hedging algorithm (PHA) which is applicable for the solution of stochastic optimization problems. We utilized the Message Passing Interface (MPI) and the General Algebraic Modelling System (GAMS) to concurrently solve the scenario-related subproblems in parallel manner. The standalone application combining the PHA, MPI, and GAMS was programmed in C++. The created software was successfully applied to a steel production problem which is considered by means of the two-stage stochastic PDE-constrained program with a random failure. The numerical heat transfer model for the steel production was derived with the use of the control volume method and the phase changes were taken into account with the use of the effective heat capacity. Numerical experiments demonstrate that parallel computing facility has enabled a significant reduction of computational time. The quality of the stochastic solution was evaluated and discussed. The developed system seems computationally effective and sufficiently robust which makes it applicable in other applications as well.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20303 - Thermodynamics

Result continuities

  • Project

    <a href="/en/project/GA15-11977S" target="_blank" >GA15-11977S: An adaptive front tracking method for parallel computing of phase change 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

  • Name of the periodical

    Kybernetika

  • ISSN

    0023-5954

  • e-ISSN

    1805-949X

  • Volume of the periodical

    53

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    24

  • Pages from-to

    1047-1070

  • UT code for WoS article

    000424732300006

  • EID of the result in the Scopus database

    2-s2.0-85040713081