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Shuffled Complex Evolution (SCE-UA) Method 1.0

  Date Added: May 05, 2013  |  Visits: 296

Shuffled Complex Evolution (SCE-UA) Method

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The SCE-UA method is a general purpose global optimization program. It was originally developed by Dr. Qingyun Duan as part of his doctoral dissertation work at the Department of Hydrologyand Water Resources, University of Arizona, Tucson, AZ 85721, USA. The dissertation is entitled "A Global Optimization Strategy for Efficient and Effective Calibration of Hydrologic Models". The program has since been modified to make it easier for use on problems of users' interests. The algorithm has been described in detail in an article entitled "Effective and Efficient Global Optimization for Conceptual Rainfall-Runoff Models", Water Resources Research, Vol 28(4), pp.1015-1031, 1992; and in an article entitled "A Shuffled Complex Evolution Approach for Effective and Efficient Global Minimization" by Q. Duan, V.K. Gupta and S. Sorooshian, Journal of Optimization Theory and its Applications, Vol 76(3), pp 501-521, 1993. A paper entitled "Optimal Use of the SCE-UA Global Optimization Method for Calibrating Watershed Models", by Q. Duan, S. Sorooshian, & V.K. Gupta, Journal of Hydrology, Vol.158, 265-284, 1994, discussed how to use the SCE-UA Method in an efficient and effective manner. The SCE-UA algorithm is also briefly described in the accompanying ASCii file 'CONCEPT_SCE.txt' contained in this package.

Requirements: No special requirements
Platforms: Matlab
Keyword: Applications Approach Article Briefly Complex Conceptual Detail Evolution Gupta Journal Minimizationquot Paper Pp10151031 Quoteffective Rainfallrunoff Research Shuffled Sorooshian Theory
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License: Freeware Size: 419.84 KB
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