Publikace UTB
Repozitář publikační činnosti UTB

Hypersphere universe boundary method comparison on HCLPSO and PSO

Repozitář DSpace/Manakin

Název: Hypersphere universe boundary method comparison on HCLPSO and PSO
Autor: Kadavý, Tomáš; Pluháček, Michal; Viktorin, Adam; Šenkeřík, Roman
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). 2017, vol. 10334 LNCS, p. 173-182
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_15
Abstrakt: In this paper, the hypersphere universe method is applied on Heterogeneous Comprehensive Learning Particle Swarm Optimization (HCLPSO) and a classical representative of swarm intelligence Particle Swarm Optimization (PSO). The goal is to the compare this method to the classical version of these algorithms. The comparisons are made on CEC’17 benchmark set functions. The experiments were carried out according to CEC benchmark rules and statistically evaluated using Friedman rank test. © Springer International Publishing AG 2017.
Plný text: https://link.springer.com/chapter/10.1007/978-3-319-59650-1_15
Zobrazit celý záznam

Find Full text Export to RefWorks
   

 

Soubory tohoto záznamu

Icon
Název: Fulltext_1007262.pdf
Velikost: 720.0Kb
Formát: PDF
Popis: fulltext

Citace ČSN ISO 690:2011

Citace článku v konferenčním sborníku:
KADAVÝ, Tomáš, Michal PLUHÁČEK, Adam VIKTORIN a Roman ŠENKEŘÍK. Hypersphere universe boundary method comparison on HCLPSO and PSO. 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. 173-182. [cit. 2024-11-16]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-59650-1_15.

Tyto citace vytvořil software a mohou obsahovat chyby. Pro ověření přesnosti si nastudujte příslušnou citační normu nebo příručku.

Související články