Fig. 8From: Dynamic Optimization with Particle Swarms (DOPS): a meta-heuristic for parameter estimation in biochemical modelsComparison of DOPS and Multiswitch DOPS Performance of DOPS and Multiswitch DOPS on the CHO metabolism problem (a), the Eggholder function (b), the 100 dimensional Styblinksi-Tang function (c) and the coagulation problem (d). Both methods have the same initial decrease in error, but as the number of function evaluations increases, multiswitch DOPS produces a larger decrease in error. The results presented are the average of \(\mathcal {T}\) = 250 trials with for the CHO metabolism problem and \(\mathcal {T}\) = 250 trials on the Eggholder and Styblinksi-Tang functions with \(\mathcal {N}\) = 4000 function evaluations each, and \(\mathcal {T}\) = 25 trials for the coagulation problemBack to article page