gnh1201/lotto_genetic_algorithm
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Update main.py

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Namhyeon Go 2021-12-17 17:02:26 +09:00 committed by GitHub
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commit 129f5ab7ca
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1 changed files with 7 additions and 2 deletions
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main.py
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@ -15,7 +15,7 @@ def make_num(x, n, a, b, c, min, max):
seed = int(x*a + n*b + c) seed = int(x*a + n*b + c)
rs = np.random.RandomState(np.random.MT19937()) rs = np.random.RandomState(np.random.MT19937())
rs.seed(seed) rs.seed(seed)
return min + round((max - min) * rs.random()) return min + round((max - min + 1) * rs.random())
def f(X): def f(X):
score = 0 score = 0
@ -38,10 +38,15 @@ def f(X):
varbound = np.array([[0, 10000]]*3) varbound = np.array([[0, 10000]]*3)
model = ga(function=f, dimension=3, variable_type='int', variable_boundaries=varbound) model = ga(function=f, dimension=3, variable_type='int', variable_boundaries=varbound, algorithm_parameters={
'max_num_iteration': 255
})
model.run() model.run()
solution = model.output_dict solution = model.output_dict
print (solution)
_variables = model.output_dict['last_generation']['variables'] _variables = model.output_dict['last_generation']['variables']
variable = solution['variable'] variable = solution['variable']
variables = [list(item) for item in set(tuple(x) for x in _variables)] variables = [list(item) for item in set(tuple(x) for x in _variables)]