[ENH] add `hyperactive` adapters for all gradient-free optimizers classes

[fkiraly]

Recipe to add unified API adapters to gradient-free-optimizers in hyperactive.
Based on the prototype design in #121

• pick one of the optimization algorithms from https://simonblanke.github.io/gradient-free-optimizers-documentation/1.5/optimizers/ not yet in hyperactive
• add a new class inheriting from _BaseGFOadapter
• fill the tags based on the table https://simonblanke.github.io/gradient-free-optimizers-documentation/1.5/optimizers/
• feel free to take one of the other classes as template, e.g., HillClimbing
• implement get_gfo_class in the new class
• fill in the docstring
  • parameter description for all parameters and defaults
  • description of the algorithm
  • these can be taken from the documentation on the algorithm here https://simonblanke.github.io/gradient-free-optimizers-documentation/1.5/optimizers/ - this is currently not in docstrings in GFO
  • add an example on how to use the optimizer.
• ensure tests pass - these will be automatically run via TestAllOptimizers

[fkiraly]

@SimonBlanke, I think this could be a good first issue, after #121 is reviewed and merged

[fkiraly]

done via #127