Inertia weight strategies in particle swarm optimization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86092963" target="_blank" >RIV/61989100:27240/11:86092963 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/NaBIC.2011.6089659" target="_blank" >http://dx.doi.org/10.1109/NaBIC.2011.6089659</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NaBIC.2011.6089659" target="_blank" >10.1109/NaBIC.2011.6089659</a>

Result language
angličtina
Original language name
Inertia weight strategies in particle swarm optimization
Original language description
Particle Swarm Optimization is a popular heuristic search algorithm which is inspired by the social learning of birds or fishes. It is a swarm intelligence technique for optimization developed by Eberhart and Kennedy [1] in 1995. Inertia weight is an important parameter in PSO, which significantly affects the convergence and exploration-exploitation trade-off in PSO process. Since inception of Inertia Weight in PSO, a large number of variations of Inertia Weight strategy have been proposed. In order topropose one or more than one Inertia Weight strategies which are efficient than others, this paper studies 15 relatively recent and popular Inertia Weight strategies and compares their performance on 05 optimization test problems. 2011 IEEE.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2011 Third World Congress on Nature and Biologically Inspired Computing
ISBN
978-1-4577-1122-0
ISSN
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e-ISSN
—
Number of pages
8
Pages from-to
633-640
Publisher name
IEEE
Place of publication
New York
Event location
Salamanca
Event date
Oct 19, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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