On the Randomization of Indices Selection for Differential Evolution

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517232" target="_blank" >RIV/70883521:28140/17:63517232 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/content/pdf/10.1007%2F978-3-319-57261-1_53.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2F978-3-319-57261-1_53.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-57261-1_53" target="_blank" >10.1007/978-3-319-57261-1_53</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On the Randomization of Indices Selection for Differential Evolution

Popis výsledku v původním jazyce

This research deals with the hybridization of two softcomputing fields, which are the chaos theory and evolutionary algorithms. This paper in- vestigates the utilization of the two-dimensional discrete chaotic systems, which are Burgers and Lozi maps, as the chaotic pseudo random number generators (CPRNGs) embedded into the selected heuristics, which is differential evolu- tion algorithm (DE). Through the utilization of either chaotic systems or identi- cal identified pseudo random number distribution, it is possible to fully keep or remove the hidden complex chaotic dynamics from the generated pseudo ran- dom data series. Experiments are focused on the extended investigation, wheth- er the different randomization types with different pseudo random numbers dis- tribution or hidden complex chaotic dynamics providing the unique sequencing are more beneficial to the heuristic performance. This research utilizes set of 4 selected benchmark functions, and totally four different randomizations; further results are compared against canonical DE.

Název v anglickém jazyce

On the Randomization of Indices Selection for Differential Evolution

Popis výsledku anglicky

This research deals with the hybridization of two softcomputing fields, which are the chaos theory and evolutionary algorithms. This paper in- vestigates the utilization of the two-dimensional discrete chaotic systems, which are Burgers and Lozi maps, as the chaotic pseudo random number generators (CPRNGs) embedded into the selected heuristics, which is differential evolu- tion algorithm (DE). Through the utilization of either chaotic systems or identi- cal identified pseudo random number distribution, it is possible to fully keep or remove the hidden complex chaotic dynamics from the generated pseudo ran- dom data series. Experiments are focused on the extended investigation, wheth- er the different randomization types with different pseudo random numbers dis- tribution or hidden complex chaotic dynamics providing the unique sequencing are more beneficial to the heuristic performance. This research utilizes set of 4 selected benchmark functions, and totally four different randomizations; further results are compared against canonical DE.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

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)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Artificial Intelligence Trends in Intelligent Systems, CSOC2017, VOL 1 Book Series: Advances in Intelligent Systems and Computing

ISBN

978-3-319-57260-4

ISSN

2194-5357

e-ISSN

neuvedeno

Počet stran výsledku

11

Strana od-do

537-547

Název nakladatele

Springer International Publishing AG

Místo vydání

Cham

Místo konání akce

Zlín

Datum konání akce

26. 4. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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