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Optimization of Generalized Halton Sequences by Differential Evolution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10246922" target="_blank" >RIV/61989100:27240/20:10246922 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-030-38629-0_30" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-38629-0_30</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-38629-0_30" target="_blank" >10.1007/978-3-030-38629-0_30</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimization of Generalized Halton Sequences by Differential Evolution

  • Original language description

    Many practical applications such as multidimensional integration and quasi-Monte Carlo simulations rely on a uniform sampling of high-dimensional spaces. Halton sequences are d-dimensional quasirandom sequences that fill the d-dimensional hyperspace uniformly and can be generated with low computational costs. Generalized (scrambled) Halton sequences improve the properties of plain Halton sequences in higher dimensions by digit scrambling. Discrete nature-inspired optimization methods have been used to search for scrambling permutations of d-dimensional generalized Halton sequences that minimized the discrepancy of the generated point sets in the past. In this work, a continuous nature-inspired optimization method, the differential evolution, is used to optimize generalized Halton sequences. (C) 2020, Springer Nature Switzerland AG.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF17_049%2F0008425" target="_blank" >EF17_049/0008425: A Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration</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

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11968

  • ISBN

    978-3-030-38628-3

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    13

  • Pages from-to

    370-382

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Chania

  • Event date

    May 27, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article