Figure 1.

Summary of $\overline{\varphi }$ algorithm. (A) Given here is asymptotic fitness evaluation and reduction. For a given network, the values of the fitness ϕ are computed for asymptotic values of parameters or couples of parameters. If the fitness is improved (warmer colors), one subset of improving parameters is chosen and pushed to its corresponding limits, effectively reducing the number of parameters. This process is iterated. See main text for details. (B) Shown here is parameter symmetry breaking. A given parameter present in multiple rate equations (here θ) is turned into multiple parameters (θ₁,θ₂) that can be varied independently during asymptotic fitness evaluation. (C) Given here are examples of parameter symmetry breaking, considering a biochemical cascade similar to the model from (10). See main text for comments. To see this figure in color, go online.