fix spelling mistake
delete random file
converted tabs into spaces

also a bit of work on mutation
accepted change of call of main()
finished mutation
removed global gene_pool

pool is now passed between functions
mutation function improved

now the mutation function is stored in the dictionary mutated_gene
rather than overwriting children_gene
organized main function to loop

if goal state is reached the function stops and prints the number of
generations thus far
if goal state is not reached the function prints that it has not been
reached
changed mutation to work with percentages

also made the code more pythonic and began to implement a highest
overall fitness counter
finished highest fitness total counter
implemented graphing the total fitness of each generation
added subplots and organized them using subplot2grid
added a probability for crossover occuring
resized the plot window
added randomize member order and changed highest_fitness_member to highest_fitness_member_value, also created highest_fitness_member to track the member with the highest fitness
single point crossover:replaced passing parents number with checking the length of shuffled_gene
started implementing keeping best member in roulette wheel