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Study on Multi-Objective Reconstruction of Random Media

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F16%3A00235628" target="_blank" >RIV/68407700:21110/16:00235628 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Study on Multi-Objective Reconstruction of Random Media

  • Original language description

    This paper deals with a reconstruction of random media via multi-objective optimization. Two statistical descriptors, namely a two-point probability function and a two-point lineal path function, are repetitively evaluated for the original medium and the reconstructed image to appreciate the improvement in the optimization progress. Because of doubts of the weights setting in the weighted-sum method, purely multi-objective optimization routine Non-dominated Sorting Genetic Algorithm II is utilized. Three operators are compared for creating new offspring populations that satisfy a prescribed volume fraction constraint. The main contribution is in the testing of the proposed methodology on several benchmark images.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-07299S" target="_blank" >GA15-07299S: Numerical tools for model-based design of robust and optimised experiments</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

    Modern Methods of Experimental and Computational Investigations in Area of Construction

  • ISBN

    978-3-03835-603-5

  • ISSN

    1660-9336

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    153-160

  • Publisher name

    Trans Tech Publications Inc.

  • Place of publication

    Pfaffikon

  • Event location

    Praha

  • Event date

    Sep 17, 2015

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article