DDS

From BlueM

Revision as of 03:47, 26 March 2009 by Froehlich (talk | contribs) (Umbenennung EVO.NET -> BlueM.Opt)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

Jump to navigation Jump to search

BlueM.Opt | Download | Usage | Development

Beschreibung

Dynamically Dimensioned Search (DDS) is an n-dimensional continuous global optimization algorithm by Tolson & Shoemaker (2007)^[1].

DDS is designed for calibration problems with many parameters, requires no algorithm parameter tuning, and automatically scales the search to find good solutions within the maximum number of user-specified function (or model) evaluations. As a result, DDS is ideally suited for computationally expensive optimization problems such as distributed watershed model calibration.^[1]

Erforderliche Eingabedateien

OPT-Datei
MOD-Datei
ZIE-Datei
CON-Datei (werden Constraints bei DDS überhaupt berücksichtigt? -- Froehlich 10:45, 17. Dez. 2008 (UTC))

Literaturangaben

↑ ^1.0 ^1.1 Tolson, B. A., and C. A. Shoemaker (2007): Dynamically dimensioned search algorithm for computationally efficient watershed model calibration, Water Resources Research 43, W01413, doi:10.1029/2005WR004723.

Retrieved from "https://wiki.bluemodel.org/index.php?title=DDS&oldid=6075"

BlueM.Opt Anwendung