Extended Study on the Randomization and Sequencing for the Chaos Embedded Heuristic

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27240/16:86100247

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Extended Study on the Randomization and Sequencing for the Chaos Embedded Heuristic

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Extended Study on the Randomization and Sequencing for the Chaos Embedded Heuristic

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2016

ISBN

978-3-319-39377-3

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

12

Strana od-do

493-504

Název nakladatele

Springer International Publishing Switzerland

Místo vydání

Cham

Místo konání akce

Zakopane

Datum konání akce

12. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000389514800042