Počet záznamů: 1
Application of random number generators in genetic algorithms to improve rainfall-runoff modelling
- 1.
SYSNO ASEP 0480548 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Application of random number generators in genetic algorithms to improve rainfall-runoff modelling Tvůrce(i) Chlumecký, M. (CZ)
Buchtele, Josef (UH-J) RID, ORCID, SAI
Richta, K. (CZ)Zdroj.dok. Journal of Hydrology. - : Elsevier - ISSN 0022-1694
Roč. 553, October (2017), s. 350-355Poč.str. 6 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova genetic algorithm ; optimisation ; rainfall-runoff modeling ; random generator Vědní obor RIV DA - Hydrologie a limnologie Obor OECD Hydrology Institucionální podpora UH-J - RVO:67985874 UT WOS 000412612700027 EID SCOPUS 85027697238 DOI 10.1016/j.jhydrol.2017.08.025 Anotace 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. Pracoviště Ústav pro hydrodynamiku Kontakt Soňa Hnilicová, hnilicova@ih.cas.cz, Tel.: 233 109 003 Rok sběru 2018
Počet záznamů: 1