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. 2013 Oct 31;9(10):e1003281. doi: 10.1371/journal.pcbi.1003281

Table 1. Comparison of residual scores and parameter estimates obtained from pLSA and eSS optimisation approaches.

KrLSA KreSS KniLSA KnieSS GtLSA GteSS
WLS 487.67 487.62 1960.10 1958.20 868.15 865.05
RMS 11.21 11.10 21.13 21.20 17.23 17.19
α 0.0970 0.0964 0.0783 0.0785 0.1107 0.1139
λ 0.0764 0.0756 0.0770 0.0772 0.1110 0.1139
D 0.0015 0.0015 0.0125 0.0126 0.0159 0.0180
τ 5.2953 5.1786 6.3083 6.3649 2.3900 2.6127

Scores and parameter estimates from two representative solutions (one for each optimisation method) are shown for Kr, kni, and gt models. WLS corresponds to the weighted least squares score Inline graphic as defined in equation 2. RMS is the root-mean-square score as defined in equation 3. Inline graphic is the production rate, Inline graphic the decay rate, Inline graphic the diffusion rate, and Inline graphic the production delay as defined in equation 1. LSA indicates scores and estimates from Lam Simulated Annealing, eSS scores and estimates from enhanced scatter search.