Conference paper

JAROŠ Jiří, MAREK Jan and MENŠÍK Pavel. Optimisation of Water Management Systems Using a GPU-Accelerated Differential Evolution. In: Proceedings of 2015 IEEE Symposium Series on Computational Intelligence. Cape Town: IEEE Computer Society, 2015, pp. 1727-1734. ISBN 978-1-4799-7560-0.
Publication language:english
Original title:Optimisation of Water Management Systems Using a GPU-Accelerated Differential Evolution
Title (cs):Optimalizace systému vodních děl pomocí diferenciální evoluce akcelerované na GPU
Pages:1727-1734
Proceedings:Proceedings of 2015 IEEE Symposium Series on Computational Intelligence
Conference:IEEE Symposium Series on Computational Intelligence 2015
Place:Cape Town, ZA
Year:2015
ISBN:978-1-4799-7560-0
Publisher:IEEE Computer Society
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Keywords
Differential evolution, water management system, GPU-acceleration, optimisation
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Ji{\v{r}}{\'{i}} Jaro{\v{s}} and Jan Marek and Pavel
	Men{\v{s}}{\'{i}}k},
   title = {Optimisation of Water Management Systems Using a
	GPU-Accelerated Differential Evolution},
   pages = {1727--1734},
   booktitle = {Proceedings of 2015 IEEE Symposium Series on Computational
	Intelligence},
   year = {2015},
   location = {Cape Town, ZA},
   publisher = {IEEE Computer Society},
   ISBN = {978-1-4799-7560-0},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=10926}
}

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