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SIMO - Adaptive simulation and optimization

Data Source: EFI EUROFOREST Portal
TitleSIMO - Adaptive simulation and optimization
CreatorSimosol Oy
DescriptionSIMO is an adaptive simulation and optimization framework designed specifically for (but not restricted to) forest management planning. The data for the planning process can be freely chosen - both the objects and their attributes. A lexicon is first defined that lists the objects; e.g. stand, strata, tree; their attributes and their relationships. This lexicon forms the basis for the planning process and is fully modifiable by the user. SIMO has an extendable modelbase. To introduce a new model to the framework, you describe it in a model catalog, and implement it using either Python, C or Fortran. There is a standard interface definition for the model implementations. There are three types of models: prediction, aggregation and operation models. Prediction models are used to predict the changes in the properties of objects; e.g. the growth of trees. Aggregation models are used for aggregation. Typically this happens between data levels; e.g. from trees to stands. Operation models modify objects; e.g. remove trees in thinning operations; and have an associated cash flow of income and cost. The SIMO framework has been developed at the Department of Forest Resource Management at the University of Helsinki. It is the product of a joint three year research project (2004-2007) between University of Helsinki, UPM-Kymmene Ltd., Tornator Oy, Metsämannut Oy, Metsähallitus, Forestry Development Centre Tapio and the Forestry Centres, and The Finnish Funding Agency for Technology and Innovation (Tekes). Simosol Oy is now the maintainer and main developer of SIMO.
KeywordsSIMO; simulation; optimization; forest management planning; simulation models
TypeModels (simulation)
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 Published: November 6 2007