Nested optimization for hierarchical search

The signature of the evaluation loss function and communication scheme should allow for arbitrary nesting of evolutionary processes. This allows for more efficient exploration of sub-spaces of different levels of variation cost.
E.g. long self supervised pre-training in an outer loop and fast finetuning in an inner loop.