DDS

From BlueM
Revision as of 02:45, 17 December 2008 by Froehlich (talk | contribs) (Die Seite wurde neu angelegt: {{EVO.NET nav}} ==Beschreibung== '''Dynamically Dimensioned Search''' (DDS) is an n-dimensional continuous global optimization algorithm by {{:Literatur:Tolson-Shoemak...)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

EVO.png 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

Literaturangaben

  1. ↑ 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=5772"