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Hypersphere universe boundary method comparison on HCLPSO and PSO
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| Title: | Hypersphere universe boundary method comparison on HCLPSO and PSO | ||||||||||
| Author: | Kadavý, Tomáš; Pluháček, Michal; Viktorin, Adam; Šenkeřík, Roman | ||||||||||
| 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. 173-182 | ||||||||||
| ISSN: | 0302-9743 (Sherpa/RoMEO, JCR) | ||||||||||
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| DOI: | https://doi.org/10.1007/978-3-319-59650-1_15 | ||||||||||
| Abstract: | 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. | ||||||||||
| Full text: | https://link.springer.com/chapter/10.1007/978-3-319-59650-1_15 | ||||||||||
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ČSN ISO 690:2011 citation
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. 2024-11-22]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-59650-1_15.
These citations are software generated and may contain errors. To verify accuracy, check the appropriate style guide.
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. 2024-11-22]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-59650-1_15.
These citations are software generated and may contain errors. To verify accuracy, check the appropriate style guide.
