Chaos-enhanced multiple-choice strategy for particle swarm optimisation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F20%3A63526425" target="_blank" >RIV/70883521:28140/20:63526425 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/17445760.2018.1487064" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/17445760.2018.1487064</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/17445760.2018.1487064" target="_blank" >10.1080/17445760.2018.1487064</a>
Alternative languages
Result language
angličtina
Original language name
Chaos-enhanced multiple-choice strategy for particle swarm optimisation
Original language description
In this paper, we use pseudo-random number generators based on six chaotic systems to enhance the performance of multiple-choice strategy for particle swarm optimisation (PSO). The multiple-choice strategy is a heterogeneous swarm-based method. We present the results of benchmark testing using the latest CEC’17 benchmark suite. The performance of the proposed method is compared with the canonical PSO and evaluated for statistical significance. Utilising of pseudo-random number generators based on six chaotic systems to enhance the performance of multiple-choice strategy for particle swarm optimization
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Parallel, Emergent and Distributed Systems
ISSN
1744-5760
e-ISSN
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Volume of the periodical
35
Issue of the periodical within the volume
6
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
603-616
UT code for WoS article
000582244500001
EID of the result in the Scopus database
2-s2.0-85049124987