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Figure 5 | BMC Bioinformatics

Figure 5

From: Comparison of evolutionary algorithms in gene regulatory network model inference

Figure 5

Small-scale noisy datasets - parameter quality. Performance of the 5 algorithms with noisy datasets in terms of parameter fit (parameter MSE). Algorithms displayed are, from left to right: GA+ANN, GA+ES, DE+AIC, GLSDC, PEACE1. GA+ANN exhibits (statistically significant) better parameters, while the rest of the algorithms display similar behaviour. At high level of noise (10%), GLSDC also performs better compared to the rest.

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