feat: add possibility to evolve strategy during evolution_algorithm

refactor: generalize apply_to_mutations

refactor(lib): allow modifying mutation perturbation

refactor(lib): add methods to get wrapped perturbations instead of traits.

Remove WrapperPerturbation and ListWrapperPerturbation in favor of
wrapped and wrapped_mut functions on PerturbationOperator. This
allows for easier handling as it's not easy to downcast Any into
WrapperPerturbation or ListWrapperPerturbation. So instead
always return dyn PerturbationOperator instead of dyn Any.
Use dyn Any only for downstasting to concrete types.

This finally allows for apply_to_mutations to be implemented
under MutationPerturbation, allowing to modify the arguments.

feat(tsp): Output csv statistics

chore: do not clone for no reason in local search

chore: remove city ids from chart

feat(tsp): add BinaryString representation of TSP

chore: add thiserror

tests(tsp): add tests for reverse subsequence

fix(tsp): reverse properly in reverse subsequence perturbatio

feat: add loading of optimal cost from solutions.txt

feat: add edge recombination crossover

feat: add into_iter for population

chore: add instances to run the algorithm on

feat(tsp): add data loading

chore: add constructor for TSPRandomInitializer

fix: iterate city positions by rows

refactor: use swap_rows in SwapPerturbaiton instead of swapping by indices

feat: add plotting of TSP