def gene_mutation(self,index): #1位变异算法,不能超过当前最大值(好像存在概率问题??对于uplimit和1<<bitnumber-1之间的数字?又好像没有??)
uplimit = self.genes_max[index]
curv = self.genes[index]
nextv = curv
while(nextv > uplimit or nextv == curv):
nextv = helper.integer_mutation1(self.genes[index],self.genes_bits[index])
#print curv,self.genes_bits[index],uplimit,nextv
return nextv
def gene_mutation(
self, index
): #1位变异算法,不能超过当前最大值(好像存在概率问题??对于uplimit和1<<bitnumber-1之间的数字?又好像没有??)
uplimit = self.genes_max[index]
curv = self.genes[index]
nextv = curv
while (nextv > uplimit or nextv == curv):
nextv = helper.integer_mutation1(self.genes[index],
self.genes_bits[index])
#print curv,self.genes_bits[index],uplimit,nextv
return nextv
def test_integer_mutation(self):
oldr = helper.random.randint
try:
helper.random.randint = lambda x, y: 0
self.assertEquals(56, helper.integer_mutation1(57, 6))
self.assertEquals(57, helper.integer_mutation1(56, 6))
helper.random.randint = lambda x, y: 5
self.assertEquals(25, helper.integer_mutation1(57, 6))
self.assertEquals(57, helper.integer_mutation1(25, 6))
helper.random.randint = lambda x, y: 3
self.assertEquals(49, helper.integer_mutation1(57, 6))
self.assertEquals(57, helper.integer_mutation1(49, 6))
helper.random.randint = lambda x, y: 0
self.assertEquals(33, helper.integer_mutation1(32, 6))
self.assertEquals(32, helper.integer_mutation1(33, 6))
helper.random.randint = lambda x, y: 5
finally:
helper.random.randint = oldr
