Fengchang Xue1, *, Juan Tian1, Wei Wang2, Yanran Zhang1, Gohar Ali3
CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2189-2199, 2020, DOI:10.32604/cmc.2020.06513
Abstract For the challenge of parameter calibration in the process of SWMM (storm
water management model) model application, we use particle Swarm Optimization (PSO)
and Sequence Quadratic Programming (SQP) in combination to calibrate the parameters
and get the optimal parameter combination in this research. Then, we compare and
analyze the simulation result with the other two respectively using initial parameters and
parameters obtained by PSO algorithm calibration alone. The result shows that the
calibration result of PSO-SQP combined algorithm has the highest accuracy and shows
highly consistent with the actual situation, which provides a scientific and effective new
idea for parameter… More >
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