Application of random number generators in genetic algorithms to improve rainfall-runoff modelling

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985874%3A_____%2F17%3A00480548" target="_blank" >RIV/67985874:_____/17:00480548 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/17:00312740
Result on the web
<a href="http://dx.doi.org/10.1016/j.jhydrol.2017.08.025" target="_blank" >http://dx.doi.org/10.1016/j.jhydrol.2017.08.025</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jhydrol.2017.08.025" target="_blank" >10.1016/j.jhydrol.2017.08.025</a>

Result language
angličtina
Original language name
Application of random number generators in genetic algorithms to improve rainfall-runoff modelling
Original language description
The efficient calibration of rainfall-runoff models is a difficult issue, even for experienced hydrologists. Therefore, fast and high-quality model calibration is a valuable improvement. This paper describes a novel methodology and software for the optimisation of a rainfall-runoff modelling using a genetic algorithm (GA) with a newly prepared concept of a random number generator (HRNG), which is the core of the optimisation. The GA estimates model parameters using evolutionary principles, which requires a quality number generator. The new HRNG generates random numbers based on hydrological information and it provides better numbers compared to pure software generators. The GA enhances the model calibration very well and the goal is to optimise the calibration of the model with a minimum of user interaction. This article focuses on improving the internal structure of the GA, which is shielded from the user. The results that we obtained indicate that the HRNG provides a stable trend in the output quality of the model, despite various configurations of the GA. In contrast to previous research, the HRNG speeds up the calibration of the model and offers an improvement of rainfall-runoff modelling.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10501 - Hydrology

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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