TBU Publications
Repository of TBU Publications

PSO with partial population restart based on complex network analysis

DSpace Repository

Title: PSO with partial population restart based on complex network analysis
Author: Pluháček, Michal; Viktorin, Adam; Šenkeřík, Roman; Kadavý, Tomáš; Zelinka, Ivan
Document type: Conference paper (English)
Source document: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2017, vol. 10334 LNCS, p. 183-192
ISSN: 0302-9743 (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: 978-3-319-59650-1
DOI: https://doi.org/10.1007/978-3-319-59650-1_16
Abstract: This study presents a hybridization of Particle Swarm Optimization with a complex network creation and analysis. A partial population is performed in certain moments of the run of the algorithm based on the information obtained from a complex network structure that represents the communication in the population. We present initial results alongside statistical evaluation and discuss future possibilities of this approach. © Springer International Publishing AG 2017.
Full text: https://link.springer.com/chapter/10.1007/978-3-319-59650-1_16
Show full item record

Find Full text Export to RefWorks
   

 

Files in this item

Icon
Name: Fulltext_1007264.pdf
Size: 1.483Mb
Format: PDF
Description: fulltext

ČSN ISO 690:2011 citation

Citace článku v konferenčním sborníku:
PLUHÁČEK, Michal, Adam VIKTORIN, Roman ŠENKEŘÍK, Tomáš KADAVÝ a Ivan ZELINKA. PSO with partial population restart based on complex network analysis. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [online]. Logroño (La Rioja): Springer Verlag, 2017, s. 183-192. [cit. 2024-11-25]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-59650-1_16.

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

Related articles