in src/common.odin there are multiple (hyper)parameters that can be set to influence how the genetic algorithm will run. here i will go through the available options to set.

parameter	possible values	note
`PROBLEM_TYPE`	`"knapsack"`, `"feature_selection"`	part 1 or part 2 of the task
`GENERATIONS`	int > 0	how many generations to simulate for
`POPULATION_SIZE`	int > 0	how many individuals in population. remains constant.
`ELITISM_COUNT`	unsigned int	how many elites to bypass selection pipeline
`SKEW`	unsigned int	reproductive skew, influences how many parents and children compete for selection
`TOURNAMENT_SIZE`	unsigned int	how many to participate in tournament, if tournament selection is used
`CROSSOVER_RATE`	[0, 1]	chance of performing crossover
`MUTATION_RATE`	[0, 1]	chance of random mutation occuring
`PARENT_SELECTION_POLICY`	`random_selection`, `roulette_selection`, `tournament_selection`	what operator to use
`CROSSOVER_POLICY`	`single_point_crossover`, `two_point_crossover`, `uniform_crossover`
`MUTATION_POLICY`	`bit_flip_mutation`, `swap_mutation`, `inversion_mutation`
`SURVIVOR_SELECTION_POLICY`	`generational_replacement`, `deterministic_crowding`, `probabilistic_crowding`
`RANDOM_SEED`	unsigned int	random seed if set to 0
`OUTPUT_FILE`	string path	where to store data. for simplicity, `plot.ua` expects `output/data.csv` as the output path.