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Two-stage stochastic facility location problem: GA with benders decomposition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F15%3APU114973" target="_blank" >RIV/00216305:26210/15:PU114973 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Two-stage stochastic facility location problem: GA with benders decomposition

  • Original language description

    This paper focuses on a special genetic algorithm that was designed for the Two-Stage Stochastic Facility Location Problem. The particular block structure of this problem is exploited in the population evaluation part of the genetic algorithm. The Benders decomposition (the L-Shaped Method) was chosen as a way to utilize the block structure and to save us some computation time.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Mendel Journal series

  • ISSN

    1803-3814

  • e-ISSN

  • Volume of the periodical

    2015

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    6

  • Pages from-to

    53-58

  • UT code for WoS article

  • EID of the result in the Scopus database