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Can the application of a multi‐objective evolutionary algorithm improve conveyance estimation?
Author(s) -
Sharifi Soroosh,
Sterling Mark,
Knight Donald W.
Publication year - 2011
Publication title -
water and environment journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 37
eISSN - 1747-6593
pISSN - 1747-6585
DOI - 10.1111/j.1747-6593.2010.00223.x
Subject(s) - calibration , evolutionary algorithm , matching (statistics) , ranging , computer science , algorithm , flow (mathematics) , work (physics) , data mining , machine learning , mathematics , statistics , engineering , geometry , mechanical engineering , telecommunications
Abstract The following work explores the possibility of applying an evolutionary algorithm (NSGA‐II) to automate the calibration procedure of a quasi 2‐D numerical model. Seven rivers are examined, with discharges and flow depths ranging from 6 to 450 m 3 /s and 0.49 to 3.69 m, respectively. The calibration procedure is based on matching lateral distributions of depth‐mean velocity, for which data exist. The results are compared with simulations undertaken by an expert user using traditional calibration techniques. The new approach compares favourably with the expert user and is able to provide an insight into the optimum calibration parameters, from which further scientific knowledge could be developed.