TBU Publications
Repository of TBU Publications

Using complex network visualization and analysis for uncovering the inner dynamics of PSO algorithm

DSpace Repository

Title: Using complex network visualization and analysis for uncovering the inner dynamics of PSO algorithm
Author: Pluháček, Michal; Šenkeřík, Roman; Viktorin, Adam; Kadavý, Tomáš; Zelinka, Ivan
Document type: Conference paper (English)
Source document: Mendel. 2017, vol. 23, issue 1, p. 87-94
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.)
Abstract: In this study, we construct a complex network from the inner dynamic of Particle Swarm Optimization algorithm. The subsequent analysis of the network promises to provide useful information for better understanding the dynamic of the swarm that is not acquirable by other means. We present several network visualizations and numerical analysis. We discuss the observations and propose further directions for the research. © 2017 Brno University of Technology. All rights reserved.
Show full item record

Find Full text Export to RefWorks
   


Files in this item

Files Size Format View

There are no files associated with this item.

ČSN ISO 690:2011 citation

Citace článku v konferenčním sborníku:
PLUHÁČEK, Michal, Roman ŠENKEŘÍK, Adam VIKTORIN, Tomáš KADAVÝ a Ivan ZELINKA. Using complex network visualization and analysis for uncovering the inner dynamics of PSO algorithm. In: Mendel [online]. Brno University of Technology, 2017, s. 87-94. ISSN 1803-3814.

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

Related articles