Using particle swarm optimization algorithm for parameter estimation in hydrological modelling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F15%3A67974" target="_blank" >RIV/60460709:41330/15:67974 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5593/SGEM2015/B21/S7.050" target="_blank" >http://dx.doi.org/10.5593/SGEM2015/B21/S7.050</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5593/SGEM2015/B21/S7.050" target="_blank" >10.5593/SGEM2015/B21/S7.050</a>
Alternative languages
Result language
angličtina
Original language name
Using particle swarm optimization algorithm for parameter estimation in hydrological modelling
Original language description
The main goal of this paper is to present a new approach in searching of the best set of parameters of the Bilan rainfall-runoff model. The particle swarm optimization technique was used and we compared the results of the PSO algorithms with linearly decreasing inertia weight and PSO with constriction factor. The model was tested on 30 monitored catchments with a length of observation of 54 years. The input data to the model are precipitation, evaporation, and air temperature, and the model simulates the runoff from the basin. The optimization ability of each method was estimated by the Nash-Sutcliffe coefficient, and other accuracy criteria like mean squared error, or mean absolute error was calculated. The results show that the PSO algorithm modifiedby the parameter of linearly decreasing inertia weight gives better estimation of parameters than the algorithm with constriction factor. The findings of this paper increase the usage of the PSO algorithm in real-life optimization proble
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GeoConference on informatics, geoinformatics and remote sensing
ISBN
978-619-7105-34-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
399-406
Publisher name
International Multidisciplinary Scientific GeoConference SGEM
Place of publication
Sofia, Bulgaria
Event location
Albena, Bulgaria
Event date
Jun 18, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000371599500050