A parallel shuffled complex evolution model calibrating algorithm to reduce computational time

767 641 56 4 6957 document 56 AParallelShuffled_s48_Muttil_.pdf application/pdf 420317 2011-09-09 10:20:36 https://vuir.vu.edu.au/767/1/AParallelShuffled_s48_Muttil_.pdf 767 1 application/pdf text en public

AParallelShuffled_s48_Muttil_.pdf

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http://eprints.org/relation/isVersionOf https://vuir.vu.edu.au/id/document/56 http://eprints.org/relation/isVolatileVersionOf https://vuir.vu.edu.au/id/document/56 http://eprints.org/relation/issmallThumbnailVersionOf https://vuir.vu.edu.au/id/document/56 archive 241 disk0/00/00/07/67 2008-03-27 2021-08-27 07:40:13 2008-09-03 01:36:18 conference_item show Muttil Nitin Liong Shie-yui Nesterov Oleksandr A parallel shuffled complex evolution model calibrating algorithm to reduce computational time pub 290000 tafeengineering 280000 Shuffled Complex Evolution (SCE-UA), calibrating algorithms, model calibration, hydrologic models, parallel computing, message passing interface (MPI) The Shuffled Complex Evolution (SCE-UA) method has been widely applied for calibration of rainfall-runoff models and has been shown to be robust and efficient search algorithm. In spite of its superiority, since many commonly used rainfallrunoff models have large simulation times, the use of model calibrating algorithms may become impractical due to the high computational time involved. This would necessitate the use of superior parallel computing technologies in the calibrating algorithms, with the aim of reducing the computational times. This study aims to parallelize the SCE-UA to accelerate the model calibrating process. In this study, it is observed that the parallelization of SCE-UA leads to ‘linear speedups’ in the model calibrating process. This means that if a calibration run requires 20 hours to complete 1000 model simulations, then using 4 PCs in parallel would take 5 hours to complete the same number of model simulations. Moreover, parallelization of SCE-UA using PCs that are linked by a LAN is an easy and affordable alternative to achieve significant reduction of the computational time, without resorting to expensive high-end systems. Such savings in computational time in turn facilitates significantly more search of the parameter space during the calibration process. 2007-12 published http://mssanz.org.au/MODSIM07/papers/33_s48/AParallelShuffled_s48_Muttil_.pdf public paper 7 MODSIM 2007 International Congress on Modelling and Simulation Christchurch, New Zealand 10-13 December 2007 conference UNSPECIFIED TRUE Includes references: pp. 1945-1946 FALSE 7 2-s2.0-80052917699 2023-07-01 04:03:59