feat(tsp): add ea binary algorithm

tests(tsp): adapt to new binarystring -> node permutation implementation

tests(tsp): add test for verify_solution

feat(tsp): add move node perturbation

fix(tsp): properly implement binary string -> node permutation fitness

feat(tsp): allow crossing bounds in reverse subsequence perturbation

Currently subsequence perturbation was capable only of changes
inside of bounds (left, right), but allow it going through
the right bound, ie. from element 8 to element 1 - swapping
8 with 1, 9 with 0, 10 with 10... this generalizes the perturbation.
Also, change the behavior to generate an index and a length instead
of two indices. This allows for constraining the length of
subsequences.

feat: add possibility to evolve strategy during evolution_algorithm

feat(tsp): Output csv statistics

chore: remove city ids from chart

feat(tsp): add BinaryString representation of TSP

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(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

refactor: pass rng as argument

Instead of having the Rng stored
inside the structs, pass it through
the functions. This means it's no longer
necessary to pass perturbations etc. as mutable.