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JAROŠ, J. MAREK, J. MENŠÍK, P.
Original Title
Optimisation of Water Management Systems Using a GPU-Accelerated Differential Evolution
Type
conference paper
Language
English
Original 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.
Keywords
Differential evolution, water management system, GPU-acceleration, optimisation
Authors
JAROŠ, J.; MAREK, J.; MENŠÍK, P.
RIV year
2015
Released
10. 12. 2015
Publisher
IEEE Computer Society
Location
Cape Town
ISBN
978-1-4799-7560-0
Book
Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015
Pages from
1727
Pages to
1734
Pages count
8
URL
https://www.fit.vut.cz/research/publication/10926/
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/" }