Optimisation of Water Management Systems Using a GPU-Accelerated Differential Evolution
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.
JAROŠ, J.; MAREK, J.; MENŠÍK, P. 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. s. 1727-1734. ISBN: 978-1-4799-7560-0.
