Add extensive parameter testing for all optimization algorithms

[SimonBlanke]

Additional tests are needed to ensure the correct behaviour of each optimization algorithm and its parameters (like epsilon in hill-climbing).

This is difficult to test, because it requires a specialized optimization setup that is different for each parameter. An example for this could be to set epsilon of hill-climbing to 1/inf and validate, that all positions in the search-data are the same. So this requires a lot of work to complete for all algorithms and parameters.

An example test for hill-climbing can be seen here:
https://github.com/SimonBlanke/Gradient-Free-Optimizers/blob/version/1.4/tests/test_parameters/test_hill_climbing.py

Suggestions on how to test parameters are welcome :-)