The procedure is effective for cases where solution for a great number of parameter values is required.
For the rates of which values are unknown, we have performed simulations for a number of parameter combinations.
That tiny dip in brightness gives us estimates for a number of parameters of the planet candidate.
Our objective function is the number of phenotypes successfully simulated by the model for a particular set of parameter values.
This conclusion was supported by a number of mathematical models, which apparently showed that group selection would only have significant effects for a limited range of parameter values.
This phenomenon exists for a broad range of parameter values.
The same task can be performed for each instrumental part corresponding to a number of parameters.
Initial trial and error simulations for different combinations of parameter values revealed a wide range of different kinds of patterns, and for certain parameter value combinations we observed a large number of different equilibrium levels.
For each set of parameter values, we have run ten simulations with different sequences of (pseudo) random numbers.
For a number of important parameters, only limited evidence is available and parameter values may differ between contexts.
