Table 1.

Parameters	Meaning
n	Phenotypic complexity, dimensionality of the phenotypic space
d	Phenotypic distance to the optimum of the reference genotype
α, Q	robustness and epistasis parameter influencing the decay rate and the curvature of the fitness function W(d) = e^{−αd^Q}
s0	Mal-adaptation of the reference genotype: s0 = −log(W(d)) = αd^Q
r	Length of the mutational vector
σ	Standard deviation of normal deviates of the mutational vector on each axis : Δz_i = N(0, σ)
x	Scaled distance to the optimum $x = \frac{r}{2 d} \sqrt{n}$
e	Epistasis defined as $e = \log (\frac{w_{12}}{w_{0}}) - \log (\frac{w_{1}}{w_{0}}) - \log (\frac{w_{2}}{w_{0}})$
m	Pleiotropy of mutations: number of phenotypes affected by mutations
N	Effective population size
μ	Mutation rate