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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/GJ16-25694Y" target="_blank" >GJ16-25694Y: Mnohoparadigmatické algoritmy dolování z dat založené na vyhledávání, fuzzy technologiích a bio-inspirovaných výpočtech</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes on Data Engineering and Communications Technologies. Volume 8

ISBN

978-3-319-65635-9

ISSN

2367-4512

e-ISSN

neuvedeno

Počet stran výsledku

13

Strana od-do

336-348

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Toronto

Datum konání akce

24. 8. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000434865700030