Result 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.
    
                Type
            
        
                conference paper
            
        
                Language
            
        
                English
            
        
            Authors
            
        
                Jaroš Jiří, prof. Ing., Ph.D., DCSY (FIT)
                
Marek Jan, Ing., MBA
Menšík Pavel, Ing., Ph.D., AdMaS VP2 EGAR (FCE), VHK (FCE)
        Marek Jan, Ing., MBA
Menšík Pavel, Ing., Ph.D., AdMaS VP2 EGAR (FCE), VHK (FCE)
                    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
                Published
            
            
                    2015
                    
                
            
                    Pages
                
            
                        1727–1734
                
            
                        Proceedings
                
            
                    Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015
                
            
                    Conference
                
            
                    IEEE Symposium Series on Computational Intelligence 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/"
}
                
                Files
            
        
                Projects
            
        
        
            
        
    
    
        Architektury paralelních a vestavěných počítačových systémů, BUT, Vnitřní projekty VUT, FIT-S-14-2297, start: 2014-01-01, end: 2016-12-31, completed
                
Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, start: 2011-01-01, end: 2015-12-31, completed
        Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, start: 2011-01-01, end: 2015-12-31, completed
                Research groups
            
        
                Departments