Hybridization of Chaotic Systems and Success-History Based Adaptive Differential Evolution

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875349" target="_blank" >RIV/70883521:28140/16:43875349 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-39636-1_11" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-39636-1_11</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-39636-1_11" target="_blank" >10.1007/978-3-319-39636-1_11</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Hybridization of Chaotic Systems and Success-History Based Adaptive Differential Evolution

Popis výsledku v původním jazyce

This research paper focuses on hybridization of two soft computing fields - chaos theory and evolutionary algorithms, specifically on the implementation of Chaotic map based Pseudo-Random Number Generator (CPRNG) into the process of parent selection in Success-History Based Adaptive Differential Evolution (SHADE) algorithm. The impact on performance of the algorithm is tested on CEC2015 benchmark set where five different chaotic maps are used for random integer generation. Performance comparison shows that there is a potential in replacing classic Pseudo-Random Number Generators (PRNGs) with chaotic ones. The results provided in this paper show that the choice of CPRNG for given problem is crucial in terms of affecting the performance of the algorithm, therefore the next research step will be focused on the development of the frame-work which will adapt to the solved problem and select the most suitable CPRNG or their combination.

Název v anglickém jazyce

Hybridization of Chaotic Systems and Success-History Based Adaptive Differential Evolution

Popis výsledku anglicky

This research paper focuses on hybridization of two soft computing fields - chaos theory and evolutionary algorithms, specifically on the implementation of Chaotic map based Pseudo-Random Number Generator (CPRNG) into the process of parent selection in Success-History Based Adaptive Differential Evolution (SHADE) algorithm. The impact on performance of the algorithm is tested on CEC2015 benchmark set where five different chaotic maps are used for random integer generation. Performance comparison shows that there is a potential in replacing classic Pseudo-Random Number Generators (PRNGs) with chaotic ones. The results provided in this paper show that the choice of CPRNG for given problem is crucial in terms of affecting the performance of the algorithm, therefore the next research step will be focused on the development of the frame-work which will adapt to the solved problem and select the most suitable CPRNG or their combination.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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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

HYBRID METAHEURISTICS

ISBN

978-3-319-39635-4

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

12

Strana od-do

145-156

Název nakladatele

Springer International Publishing Switzerland

Místo vydání

Cham

Místo konání akce

Plymouth

Datum konání akce

8. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000379305500011