Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4375457 | Ecological Informatics | 2008 | 10 Pages |
Abstract
The results of this study have demonstrated that: (1) the hybridization of ordinary differential equations by EA provide a sophisticated approach to fine-tune crucial parameters of complex ecological models, and (2) the multi-objective parameter optimization of SALMO-OO by EA has significantly improved the accuracy of simulation results for three different lake categories.
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Authors
Hongqing Cao, Friedrich Recknagel, Lydia Cetin, Byron Zhang,