Figure 5.

Convergence performance of the optimization methods on the task of parameter estimation from artificial data. Convergence curves of the four parameter estimation methods (DASA, PSO, DE, and A717) applied to three artificial datasets (columns) and four observation scenarios (rows): a) CO; b) AO; c) TO; and d) NPO. Graphs in the left column correspond to the noise-free data set, while the graphs in the middle and right column correspond to the noisy datasets with 5% and 20% relative noise, respectively. In order to capture the convergence trend over a wide range of values, the convergence curves are plotted using logarithmic scales for both axes.

Tashkova et al. BMC Systems Biology 2011 5:159   doi:10.1186/1752-0509-5-159
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