refactor(tsp): Do not allocate in binary string fitness function

Currently the fit function has allocated for each individual!
That slows it down terribly!

This reimplements it to implement the fit_population, reusing
the same node permutation and same precedence_count

chore: fix warnings

feat(lib): allow modifying fitness function in evolution_algorithm

chore: move population structs to separate module

feat(tsp): Remove with iteration functions

feat(tsp): final tweaks

fix(tsp): few more tweaks

feat(tsp): add binary ls, use 10k iterations instead of 5k

feat: add a lot of algorithm showcases

chore(tsp): few minor updates

tests(tsp): move tests to proper modules, fix uses

refactor(tsp): split to multiple files out of tsp.rs

refactor(tsp): put plotting to main to not repeat code

feat(tsp): add ea binary algorithm

feat: add possibility to evolve strategy during evolution_algorithm

feat(tsp): Output csv statistics

feat: add loading of optimal cost from solutions.txt

feat(tsp): add data loading

feat: init tsp_hw01