Comparison of Pseudorandom Numbers Generators and Chaotic Numbers Generators used 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%2F14%3A86093257" target="_blank" >RIV/61989100:27240/14:86093257 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-07401-6_11" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-07401-6_11</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-07401-6_11" target="_blank" >10.1007/978-3-319-07401-6_11</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of Pseudorandom Numbers Generators and Chaotic Numbers Generators used in Differential Evolution
Original language description
Differential evolution is one of the great family of evolutionary algorithms. As well as all evolutionary algorithms differential evolution uses pseudorandom numbers generators in many steps of algorithm. In this paper we will compare pseudorandom numbers generators as Mersenne Twister, Crypto Random, Random number generator in Microsoft .NET System.Random class, Visual Studio 2010, Multiply-with-carry, Xorshift and chaotic numbers generators as Logistic map, Arnold Cat Map and Sinai. The main goal of this paper is compare these pseudorandom numbers generators and chaotic numbers generators from the view of differential evolution convergence's speed to the global minimum.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Nostradamus 2014: prediction, modeling and analysis of complex systems
ISBN
978-3-319-07400-9
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
111-121
Publisher name
Springer
Place of publication
London
Event location
Ostrava
Event date
Jun 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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