Particle swarm optimization with protozoic behaviour
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089238" target="_blank" >RIV/61989100:27240/13:86089238 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/13:86089238
Result on the web
<a href="http://dx.doi.org/10.1109/SMC.2013.347" target="_blank" >http://dx.doi.org/10.1109/SMC.2013.347</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SMC.2013.347" target="_blank" >10.1109/SMC.2013.347</a>
Alternative languages
Result language
angličtina
Original language name
Particle swarm optimization with protozoic behaviour
Original language description
Nature inspired algorithms implement successful optimization and adaptation strategies observed in the nature. Various bio-inspired algorithms mimic the behavioural patterns of plants, animals, their communities and their evolution. Surprisingly, the behavioural patterns and survival strategies of protozoa, one of the most prevalent and successful species on Earth, did not receive significant attention from the bio-inspired computing community until present time. This study proposes a new variant of Particle Swarm Optimization incorporating behaviour inspired by protozoa and evaluates the performance of such an algorithm on a set of well known test functions.
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
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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
ISBN
978-0-7695-5154-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
2026-2030
Publisher name
IEEE
Place of publication
New York
Event location
Manchester
Event date
Oct 13, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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