Hypersphere universe boundary method comparison on hclpso and PSO
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517173" target="_blank" >RIV/70883521:28140/17:63517173 - isvavai.cz</a>
Result on the web
<a href="https://rd.springer.com/chapter/10.1007/978-3-319-59650-1_15" target="_blank" >https://rd.springer.com/chapter/10.1007/978-3-319-59650-1_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-59650-1_15" target="_blank" >10.1007/978-3-319-59650-1_15</a>
Alternative languages
Result language
angličtina
Original language name
Hypersphere universe boundary method comparison on hclpso and PSO
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-319-59649-5
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
173-182
Publisher name
Springer-Verlag Berlin
Place of publication
Heidelberg
Event location
La Rioja
Event date
Jun 21, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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