TBU Publications
Repository of TBU Publications

Extensive study on the performance of PSO algorithm enhanced with burgers chaotic map

DSpace Repository

Title: Extensive study on the performance of PSO algorithm enhanced with burgers chaotic map
Author: Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan; Davendra, Donald David
Document type: Conference paper (English)
Source document: MENDEL 2013. 2013, p. 161-166
ISSN: 1803-3814 (Sherpa/RoMEO, JCR)
Journal Impact This chart shows the development of journal-level impact metrics in time
JCR Journal Citation Reports - Impact Factor
SNIP SCImago Source Normalized Impact per Paper
SJR SCImago Journal Rank
IPP SCImago Impact per Publication
CS Scopus CiteScore
(Note: The metrics are not comparable against one another.)
ISBN: 978-80-214-4755-4
Abstract: In this paper, it is proposed the utilization of discrete chaotic Burgers map based chaos pseudo-random number generator to enhance the performance of PSO algorithm. The performance is tested on a set of six test functions representing both unimodal and multimodal as well as both static and shifted optimization problems. Promising results are presented and analyzed.
Show full item record

Find Full text Export to RefWorks
   


Files in this item

Icon
Name: Fulltext_1004670.pdf
Size: 1.880Mb
Format: PDF
Description: fulltext

ČSN ISO 690:2011 citation

Citace článku v konferenčním sborníku:
PLUHÁČEK, Michal, Roman ŠENKEŘÍK, Ivan ZELINKA a Donald David DAVENDRA. Extensive study on the performance of PSO algorithm enhanced with burgers chaotic map. In: MENDEL 2013 [online]. Brno: Brno University of Technology, 2013, s. 161-166. ISSN 1803-3814.

These citations are software generated and may contain errors. To verify accuracy, check the appropriate style guide.

Related articles