Publication Details
Optimisation of Water Management Systems Using a GPU-Accelerated Differential Evolution
JAROŠ, J.; MAREK, J.; MENŠÍK, P. Optimisation of Water Management Systems Using a GPU-Accelerated Differential Evolution. In Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015. Cape Town: IEEE Computer Society, 2015. p. 1727-1734. ISBN: 978-1-4799-7560-0.
Czech title
Optimalizace systému vodních děl pomocí diferenciální evoluce akcelerované na GPU
Type
conference paper
Language
English
Authors
Keywords
Differential evolution, water management system, GPU-acceleration, optimisation
Abstract
The aim of this paper is to present a tool that could optimise water levels in dams to provide the inhabitants and industry with enough fresh water while keeping a reasonable flood protection and river navigability. Since the water systems may be quite complicated and the outflow plans have to be precise, we developed a GPU-accelerated algorithm based on the differential evolution to solve this task. The experimental results show that a high quality annual outflow plans can be obtained within a minute, almost 18 times faster than on a hex-core CPU.
Published
2015
Pages
1727–1734
Proceedings
Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015
ISBN
978-1-4799-7560-0
Publisher
IEEE Computer Society
Place
Cape Town
DOI
UT WoS
000380431500235
EID Scopus
BibTeX
@inproceedings{BUT119882,
author="Jiří {Jaroš} and Jan {Marek} and Pavel {Menšík}",
title="Optimisation of Water Management Systems Using a GPU-Accelerated Differential Evolution",
booktitle="Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015",
year="2015",
pages="1727--1734",
publisher="IEEE Computer Society",
address="Cape Town",
doi="10.1109/SSCI.2015.266",
isbn="978-1-4799-7560-0",
url="https://www.fit.vut.cz/research/publication/10926/"
}
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