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Fig. 14 | BMC Systems Biology

Fig. 14

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

Fig. 14

Optimised parameter values for experimental saccadic velocity profiles versus the method used for selecting the final solution. Method I selects the solution that minimises the Euclidean distance between the Pareto front population and the objective space origin; method II selects the best fit to a 5 deg saccade (objective 1); method III selects the best fit to a 10 deg saccade (objective 2); method IV selects the best fit to a 20 deg saccade (objective 3). The top plots (from left to right) show parameters α,β and ε, respectively; the bottom plots (from left to right) show parameters γ,α and β , respectively. The horizontal line in each boxplot denotes the median parameter value. The edges of each box are the 25th and 75th percentiles. The whiskers extend to the interquartile range. All values shown were calculated from 16 NSGA runs with a population size of 8000

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