All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Evaluation of Pseudorandom Number Generators Based on Residue Arithmetic in Differential Evolution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241725" target="_blank" >RIV/61989100:27240/18:10241725 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-65636-6_30" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-65636-6_30</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-65636-6_30" target="_blank" >10.1007/978-3-319-65636-6_30</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of Pseudorandom Number Generators Based on Residue Arithmetic in Differential Evolution

  • Original language description

    Sequences of pseudorandom numbers, produced by various pseudorandom number generators (PRNGs), are essential for the implementation of stochastic algorithms, simulations, and methods including nature-inspired computation. The non-determinism, observed in nature, is emulated with the help of pseudorandom values, predefined probabilities and thresholds, and the properties of generated sequences may have significant impact on the computation. They affect both, the ability of the algorithms to find high-quality problem solutions and the speed of the computation. Residue number systems provide means for alternative representation of integers that is suitable for parallel systems. In this work, several PRNGs based on residue arithmetic and residue number systems are empirically investigated as a source of stochasticity for the differential evolution algorithm.

  • 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/GJ16-25694Y" target="_blank" >GJ16-25694Y: Multi-paradigm data mining algorithms based on information retrieval, fuzzy, and bio-inspired methods</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • 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 on Data Engineering and Communications Technologies. Volume 8

  • ISBN

    978-3-319-65635-9

  • ISSN

    2367-4512

  • e-ISSN

    neuvedeno

  • Number of pages

    13

  • Pages from-to

    336-348

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Toronto

  • Event date

    Aug 24, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000434865700030