Population Diversity Analysis in Adaptive Differential Evolution Variants with Unconventional Randomization Schemes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244245" target="_blank" >RIV/61989100:27240/19:10244245 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-030-20912-4_46" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-20912-4_46</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-20912-4_46" target="_blank" >10.1007/978-3-030-20912-4_46</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Population Diversity Analysis in Adaptive Differential Evolution Variants with Unconventional Randomization Schemes

Popis výsledku v původním jazyce

This research represents a detailed insight into the modern and popular hybridization of unconventional quasiperiodic/chaotic sequences and evolutionary computation. It is aimed at the influence of different randomization schemes on the population diversity, thus on the performance, of two selected adaptive Differential Evolution (DE) variants. Experiments are focused on the extensive investigation of totally ten different randomization schemes for the selection of individuals in DE algorithm driven by the default pseudo-random generator of Java environment and nine different two-dimensional discrete chaotic systems, as the unconventional chaotic pseudo-random number generators. The population diversity is recorded for 15 test functions from the CEC 2015 benchmark set in 10D.

Název v anglickém jazyce

Population Diversity Analysis in Adaptive Differential Evolution Variants with Unconventional Randomization Schemes

Popis výsledku anglicky

This research represents a detailed insight into the modern and popular hybridization of unconventional quasiperiodic/chaotic sequences and evolutionary computation. It is aimed at the influence of different randomization schemes on the population diversity, thus on the performance, of two selected adaptive Differential Evolution (DE) variants. Experiments are focused on the extensive investigation of totally ten different randomization schemes for the selection of individuals in DE algorithm driven by the default pseudo-random generator of Java environment and nine different two-dimensional discrete chaotic systems, as the unconventional chaotic pseudo-random number generators. The population diversity is recorded for 15 test functions from the CEC 2015 benchmark set in 10D.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11509

ISBN

978-3-030-20914-8

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

13

Strana od-do

506-518

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Zakopané

Datum konání akce

16. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000485150200046