Kontaktujte nás | Jazyk: čeština English
Název: | Population diversity analysis for the chaotic based selection of individuals in differential evolution | ||||||||||
Autor: | Šenkeřík, Roman; Viktorin, Adam; Pluháček, Michal; Kadavý, Tomáš | ||||||||||
Typ dokumentu: | Článek ve sborníku (English) | ||||||||||
Zdrojový dok.: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018, vol. 10835 LNCS, p. 283-294 | ||||||||||
ISSN: | 0302-9743 (Sherpa/RoMEO, JCR) | ||||||||||
Journal Impact
This chart shows the development of journal-level impact metrics in time
|
|||||||||||
ISBN: | 978-3-319-91640-8 | ||||||||||
DOI: | https://doi.org/10.1007/978-3-319-91641-5_24 | ||||||||||
Abstrakt: | 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. © 2018, Springer International Publishing AG, part of Springer Nature. | ||||||||||
Plný text: | https://link.springer.com/chapter/10.1007/978-3-319-91641-5_24 | ||||||||||
Zobrazit celý záznam |