math.cos(x1) + 10.)
def f3()
# TEST NUM. 1 -- f1(x)
g = GA(10, 10, p_mut, p_xover, l_dna)
b_gene = ""
b_fitness = 999999
g.init_population()
for _ in range(g.n_gen):
decimals = [g.in_context(-2., 2., g.to_decimal(g.population[i]), l_dna)
for i in range(g.n_pop)]
scores = [f1(x) for x in decimals]
for i, gene in enumerate(g.population):
if scores[i] < b_fitness:
b_fitness = scores[i]
b_gene = gene
children = []
for i in range(g.n_pop / 2):
p1 = g.t_selection(scores)
p2 = g.t_selection(scores)
