On Some Properties of the lbest Topology in Particle Swarm Optimization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A86075643" target="_blank" >RIV/61989100:27240/09:86075643 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
On Some Properties of the lbest Topology in Particle Swarm Optimization
Original language description
Particle Swarm Optimization (PSO) is arguably one of the most popular nature- inspired algorithms for real parameter optimization at present. The existing theoretical research on PSO is mostly based on the gbest (global best) particle topology, which usually is susceptible to false or premature convergence over multi-modal fitness landscapes. The present standard PSO (SPSO 2007) uses an lbest (local best) topology where a particle is stochastically attracted not towards the best position found in the entire swarm, but towards the best position found by any particle in its topological neighborhood. This paper presents a first step towards a probabilistic analysis of the lbest PSO with variable random neighborhood topology by addressing issues like inter-particle interaction and probabilities of selection based on particle ranks.
Czech name
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Czech description
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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)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Ninth International Conference on Hybrid Intelligent Systems, 2009. HIS 09
ISBN
978-0-7695-3745-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, California
Event location
Čína
Event date
Aug 12, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000281999600077

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