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Tunable constrained optimization algorithms #324

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@fjwillemsen fjwillemsen commented Jul 11, 2025

This PR combines the hyperparameter tuning with the constrained optimization algorithms, new differential evolution implementation, and support for custom strategies.
In addition, it brings several performance improvements to the handling and lookup of neighbors in the search space:

  • Simultaneous caching of various neighbor methods.
  • Specific methods for finding a random neighbor.
  • Partial neighbor caching, which works by the fact that each neighbor lookup also produces partial information on the neighbors of that neighbor.

…overall neighbor knowledge with every lookup
…t constant after restrictions) from the search space
…merical values are replaced with their index
…to the parameter indices of the given configuration
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