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
Jaroš Jiří, doc. Ing., Ph.D. (DCSY)
Marek Jan, Ing., MBA
Menšík Pavel, Ing., Ph.D.
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
10.1109/SSCI.2015.266
UT WoS
000380431500235
EID Scopus
2-s2.0-84964955846
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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