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Heuristic approaches to stochastic quadratic assignment problem: VO and MM cases

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F16%3APU125127" target="_blank" >RIV/00216305:26210/16:PU125127 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Heuristic approaches to stochastic quadratic assignment problem: VO and MM cases

  • Original language description

    The aim of the paper is to build on the previous article, which dealt with heuristic approaches to solving of the so-called EV and EO deterministic reformulations of a stochastic quadratic assignment problem (StoQAP) and focus on the following VO and MM deterministic reformulations. It is known that the deterministic Quadratic Assignment Problem (QAP) belongs to a class of well-known combinatorial optimization problems. Working with several real-world applications we have found that the QAP parameters can also be considered stochastic ones. Thus, we review a Stochastic Quadratic Assignment Problem (StoQAP) as a stochastic program and discuss its suitable deterministic reformulations. The focus is on VO and MM reformulations and results of test computations for the selected instances of StoQAP by metaheuristic are presented.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

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

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of 22nd International Conference on Soft Computing MENDEL 2016

  • ISBN

    978-80-214-5365-4

  • ISSN

    1803-3814

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    117-122

  • Publisher name

    Brno University of Technology

  • Place of publication

    Brno, Czech Republic

  • Event location

    Brno

  • Event date

    Jun 8, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article