A multi-core CPU and many-core GPU based fast parallel shuffled complex evolution global optimization approach

In the field of hydrological modelling, the global and automatic parameter calibration has been a hot issue for many years. Among automatic parameter optimization algorithms, the shuffled complex evolution developed at the University of Arizona (SCE-UA) is the most successful method for stably and r...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems 2017-02, Vol.28 (2), p.332-344
Hauptverfasser:	Kan, Guangyuan, Lei, Tianjie, Liang, Ke, Li, Jiren, Ding, Liuqian, He, Xiaoyan, Yu, Haijun, Zhang, Dawei, Zuo, Depeng, Bao, Zhenxin, Amo-boateng, Mark, Hu, Youbing, Zhang, Mengjie
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Calibration Central processing units Computational modeling Computing time CPUs Data management Evolutionary algorithms Genetic algorithms Global optimization Graphics processing units Hydrologic models Hydrology many-core GPU multi-core CPU Optimization parallel computing Parallel processing parameter optimization SCE-UA Water resources
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