Is your feature request related to a problem? Please describe

Checking out the examples, for some of them (TSP, CVRP) I found that using decay = 0.85 improved the results significantly compared to the choosen value decay = 0.8. A useful feature would be an automated support for parameter testing.

Describe the solution you'd like

The solution would be an automated parameter swipe executing many optimization runs thereby changing one or more parameters
and the random seed. To utilize modern many-core CPUs these runs could be parallelized using Python multi-processing.
Result would be mean and standard deviation of the objective for specific parameter values which could be visualized using plots.

Describe alternatives you have considered

Alternative would be some guidance how to manually optimize the parameters - may be another example or based on an existing one.
Permutation Flow Shop already contains a section "Tuning the destroy rate". There could be a similar section for TSP called "Tuning the decay rate".

Additional context