@@ -1844,8 +1844,8 @@ def roulette_wheel_selection(self, fitness, num_parents):
18441844 if fitness_sum == 0 :
18451845 raise ZeroDivisionError ("Cannot proceed because the sum of fitness values is zero. Cannot divide by zero." )
18461846 probs = fitness / fitness_sum
1847- probs_start = numpy .zeros (probs .shape , dtype = numpy . float ) # An array holding the start values of the ranges of probabilities.
1848- probs_end = numpy .zeros (probs .shape , dtype = numpy . float ) # An array holding the end values of the ranges of probabilities.
1847+ probs_start = numpy .zeros (probs .shape , dtype = float ) # An array holding the start values of the ranges of probabilities.
1848+ probs_end = numpy .zeros (probs .shape , dtype = float ) # An array holding the end values of the ranges of probabilities.
18491849
18501850 curr = 0.0
18511851
@@ -1888,8 +1888,8 @@ def stochastic_universal_selection(self, fitness, num_parents):
18881888 if fitness_sum == 0 :
18891889 raise ZeroDivisionError ("Cannot proceed because the sum of fitness values is zero. Cannot divide by zero." )
18901890 probs = fitness / fitness_sum
1891- probs_start = numpy .zeros (probs .shape , dtype = numpy . float ) # An array holding the start values of the ranges of probabilities.
1892- probs_end = numpy .zeros (probs .shape , dtype = numpy . float ) # An array holding the end values of the ranges of probabilities.
1891+ probs_start = numpy .zeros (probs .shape , dtype = float ) # An array holding the start values of the ranges of probabilities.
1892+ probs_end = numpy .zeros (probs .shape , dtype = float ) # An array holding the end values of the ranges of probabilities.
18931893
18941894 curr = 0.0
18951895
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