Extended Study on the Randomization and Sequencing for the Chaos Embedded Heuristic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875583" target="_blank" >RIV/70883521:28140/16:43875583 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/16:86100247
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-39378-0_42" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-39378-0_42</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-39378-0_42" target="_blank" >10.1007/978-3-319-39378-0_42</a>
Alternative languages
Result language
angličtina
Original language name
Extended Study on the Randomization and Sequencing for the Chaos Embedded Heuristic
Original language description
This research deals with the hybridization of two softcomputing fields, which are chaos theory and evolutionary algorithms. This paper investigates the utilization of the time-continuous chaotic system, which is Ueda oscillator, as the chaotic pseudo random number generator (CPRNG) embedded into the selected heuristics. Through the utilization of time-continuous systems and with different sampling times from very small to bigger, it is possible to fully keep, suppress or remove the hidden complex chaotic dynamics from the generated pseudo random data series. Repeated simulations were performed investigating the influence of the oscillator sampling time to the selected heuristic, which is differential evolution algorithm (DE). Experiments are focused on the extended investigation, whether the different randomization and pseudo random numbers distribution given by particular CPRNG or hidden complex chaotic dynamics providing the unique sequencing are beneficial to the heuristic performance. This research utilizes set of 4 selected benchmark functions, three different sampling rates of Ueda oscillator; further results are compared against canonical DE.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
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
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2016
ISBN
978-3-319-39377-3
ISSN
0302-9743
e-ISSN
—
Number of pages
12
Pages from-to
493-504
Publisher name
Springer International Publishing Switzerland
Place of publication
Cham
Event location
Zakopane
Event date
Jun 12, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389514800042