def evaluate(self,gene):
dev = (gene.bounds[1]-gene.bounds[0]) * self.dev_width
new = gene.bounds[1]
# while not (gene.bounds[0] <= new < gene.bounds[1]):
# new = prng.normal(gene.value(),dev)
# new = prng.normal(gene.value(),dev)
#get the _value explicitly so mutator will work for log_float also
new = prng.normal(gene._value,dev)
if new > gene.bounds[1]: new = gene.bounds[1]
if new < gene.bounds[0]: new = gene.bounds[0]
return new
def evaluate(self,gene):
""" return a new value from the genes allele set """
size = len(gene.allele_set)
if size == 1: return gene.allele_set[0]
w = self.dev_width * size
old = gene.index()
new = -1; f = -1
while not (0 <= new < size):
f = prng.normal(old,w)
new = round(f)
if(old == new and f > new): new = new + 1
if(old == new and f < new): new = new - 1
return gene.allele_set[int(new)]
