Population diversity analysis for the chaotic based selection of individuals in differential evolution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63520697" target="_blank" >RIV/70883521:28140/18:63520697 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-91641-5_24" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-91641-5_24</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-91641-5_24" target="_blank" >10.1007/978-3-319-91641-5_24</a>
Alternative languages
Result language
angličtina
Original language name
Population diversity analysis for the chaotic based selection of individuals in differential evolution
Original language description
This research deals with the modern and popular hybridization of chaotic dynamics and evolutionary computation. It is aimed at the influence of chaotic sequences on the population diversity as well as the algorithm performance of the simple parameter adaptive Differential Evolution (DE) strategy: jDE. Experiments are focused on the extensive investigation of the different randomization schemes for the selection of individuals in DE algorithm driven by the nine different two-dimensional discrete chaotic systems, as the chaotic pseudo-random number generators. The population diversity and jDE convergence are recorded on the 15 test functions from the CEC 2015 benchmark.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 10835
ISBN
978-331991640-8
ISSN
03029743
e-ISSN
neuvedeno
Number of pages
12
Pages from-to
283-294
Publisher name
Springer Verlag
Place of publication
Berlín
Event location
Paříž
Event date
May 16, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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