Hierarchical dynamic neighborhood based Particle Swarm Optimization for global optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86097050" target="_blank" >RIV/61989100:27240/11:86097050 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949695" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949695</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2011.5949695" target="_blank" >10.1109/CEC.2011.5949695</a>
Alternative languages
Result language
angličtina
Original language name
Hierarchical dynamic neighborhood based Particle Swarm Optimization for global optimization
Original language description
Particle Swarm Optimization (PSO) is arguably one of the most popular nature-inspired algorithms for real parameter optimization at present. In this article, we introduce a new variant of PSO referred to as Hierarchical D-LPSO (Dynamic Local Neighborhoodbased Particle Swarm Optimization). In this new variant of PSO the particles are arranged following a dynamic hierarchy. Within each hierarchy the particles search for better solution using dynamically varying sub-swarms i.e. these sub-swarms are regrouped frequently and information is exchanged among them. Whether a particle will move up or down the hierarchy depends on the quality of its so-far best-found result. The swarm is largely influenced by the good particles that move up in the hierarchy. Theperformance of Hierarchical D-LPSO is tested on the set of 25 numerical benchmark functions taken from the competition and special session on real parameter optimization held under IEEE Congress on Evolutionary Computation (CEC) 2005. Th
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F09%2F1494" target="_blank" >GA102/09/1494: New methods od data transmition based on turbo code</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2011 IEEE Congress of Evolutionary Computation, CEC 2011
ISBN
978-1-4244-7834-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
757-764
Publisher name
IEEE
Place of publication
Vienna
Event location
New Orleans
Event date
Jun 5, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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