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Fig. 12 | BMC Systems Biology

Fig. 12

From: Optimisation of an exemplar oculomotor model using multi-objective genetic algorithms executed on a GPU-CPU combination

Fig. 12

Convergence metrics of NSGA-II for fits to the experimental saccadic velocity profiles of Fig. 2. a Mean value of the hypervolume indicator \(\mathcal {H}_{I}\) as a function of generation number n. b Standard deviation (SD) of \(\mathcal {H}_{I}\) as a function of n. c Mean value of the smallest Euclidean distance \(d_{\hat {\mathcal {F}}}\) between the Pareto front estimate and objective space origin as a function of n. d SD of \(d_{\hat {\mathcal {F}}}\) as a function of n. Convergence metrics were calculated from 16 runs of NSGA-II each for the following population sizes: 500, 1000, 2000, 4000 and 8000

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