How to perform Partial-mapped crossover in python3?
I am new to genetic algorithms and made one the other day that recreated a target string. So I tried to make one that could make a Magic Square. It was ok until I got to the crossover part, realising I couldn't just do a single point crossover. So I attempted to perform a Partially Mapped Crossover, and I could not and still can't get it to work. I understand how the Partially Mapped Crossover works I just can't implement it into python. Since my code isn't complete yet I isolated the crossover function in a different program and changed it so the parents were a fixed list.
Can someone please correct my code or if it is completely wrong show me how to perform a Partial Mapped Crossover on 2 lists with integers 1 to 9?
Also, I am sorry and understand that my naming of variables isn't that good but I was just trying to get the program to work making constant edits.
import random
parent1 = [1,2,3,4,5,6,7,8,9]
parent2 = [5,4,6,7,2,1,3,9,8]
firstCrossPoint = random.randint(0,len(parent1)-1) #Creating parameters for random sublist
secondCrossPoint = random.randint(firstCrossPoint+1,len(parent1))
parent1MiddleCross = parent1[firstCrossPoint:secondCrossPoint]
parent2MiddleCross = parent2[firstCrossPoint:secondCrossPoint]
child1 = (parent1[:firstCrossPoint] + parent2MiddleCross + parent1[secondCrossPoint:])
child2 = (parent2[:firstCrossPoint] + parent1MiddleCross + parent2[secondCrossPoint:])
relationsWithDupes =
for i in range(len(parent1MiddleCross)):
relationsWithDupes.append([parent2MiddleCross[i], parent1MiddleCross[i]])
relations =
for pair in relationsWithDupes:
for i in range(len(relationsWithDupes)):
if pair[0] in relationsWithDupes[i] or pair[1] in relationsWithDupes[i]:
if pair != relationsWithDupes[i]:
if pair[0] == relationsWithDupes[i][1]:
pair[0] = relationsWithDupes[i][0]
else:
pair[1] = relationsWithDupes[i][1]
if pair not in relations and pair[::-1] not in relations:
relations.append(pair)
for i in child1[:firstCrossPoint]:
for x in relations:
if i == x[0]:
i = x[1]
for i in child1[secondCrossPoint:]:
for x in relations:
if i == x[0]:
i = x[1]
for i in child2[:firstCrossPoint]:
for x in relations:
if i == x[1]:
i = x[0]
for i in child2[secondCrossPoint:]:
for x in relations:
if i == x[1]:
i = x[0]
print(child1)
print(child2)
python python-3.x genetic-algorithm magic-square crossover
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I am new to genetic algorithms and made one the other day that recreated a target string. So I tried to make one that could make a Magic Square. It was ok until I got to the crossover part, realising I couldn't just do a single point crossover. So I attempted to perform a Partially Mapped Crossover, and I could not and still can't get it to work. I understand how the Partially Mapped Crossover works I just can't implement it into python. Since my code isn't complete yet I isolated the crossover function in a different program and changed it so the parents were a fixed list.
Can someone please correct my code or if it is completely wrong show me how to perform a Partial Mapped Crossover on 2 lists with integers 1 to 9?
Also, I am sorry and understand that my naming of variables isn't that good but I was just trying to get the program to work making constant edits.
import random
parent1 = [1,2,3,4,5,6,7,8,9]
parent2 = [5,4,6,7,2,1,3,9,8]
firstCrossPoint = random.randint(0,len(parent1)-1) #Creating parameters for random sublist
secondCrossPoint = random.randint(firstCrossPoint+1,len(parent1))
parent1MiddleCross = parent1[firstCrossPoint:secondCrossPoint]
parent2MiddleCross = parent2[firstCrossPoint:secondCrossPoint]
child1 = (parent1[:firstCrossPoint] + parent2MiddleCross + parent1[secondCrossPoint:])
child2 = (parent2[:firstCrossPoint] + parent1MiddleCross + parent2[secondCrossPoint:])
relationsWithDupes =
for i in range(len(parent1MiddleCross)):
relationsWithDupes.append([parent2MiddleCross[i], parent1MiddleCross[i]])
relations =
for pair in relationsWithDupes:
for i in range(len(relationsWithDupes)):
if pair[0] in relationsWithDupes[i] or pair[1] in relationsWithDupes[i]:
if pair != relationsWithDupes[i]:
if pair[0] == relationsWithDupes[i][1]:
pair[0] = relationsWithDupes[i][0]
else:
pair[1] = relationsWithDupes[i][1]
if pair not in relations and pair[::-1] not in relations:
relations.append(pair)
for i in child1[:firstCrossPoint]:
for x in relations:
if i == x[0]:
i = x[1]
for i in child1[secondCrossPoint:]:
for x in relations:
if i == x[0]:
i = x[1]
for i in child2[:firstCrossPoint]:
for x in relations:
if i == x[1]:
i = x[0]
for i in child2[secondCrossPoint:]:
for x in relations:
if i == x[1]:
i = x[0]
print(child1)
print(child2)
python python-3.x genetic-algorithm magic-square crossover
add a comment |
I am new to genetic algorithms and made one the other day that recreated a target string. So I tried to make one that could make a Magic Square. It was ok until I got to the crossover part, realising I couldn't just do a single point crossover. So I attempted to perform a Partially Mapped Crossover, and I could not and still can't get it to work. I understand how the Partially Mapped Crossover works I just can't implement it into python. Since my code isn't complete yet I isolated the crossover function in a different program and changed it so the parents were a fixed list.
Can someone please correct my code or if it is completely wrong show me how to perform a Partial Mapped Crossover on 2 lists with integers 1 to 9?
Also, I am sorry and understand that my naming of variables isn't that good but I was just trying to get the program to work making constant edits.
import random
parent1 = [1,2,3,4,5,6,7,8,9]
parent2 = [5,4,6,7,2,1,3,9,8]
firstCrossPoint = random.randint(0,len(parent1)-1) #Creating parameters for random sublist
secondCrossPoint = random.randint(firstCrossPoint+1,len(parent1))
parent1MiddleCross = parent1[firstCrossPoint:secondCrossPoint]
parent2MiddleCross = parent2[firstCrossPoint:secondCrossPoint]
child1 = (parent1[:firstCrossPoint] + parent2MiddleCross + parent1[secondCrossPoint:])
child2 = (parent2[:firstCrossPoint] + parent1MiddleCross + parent2[secondCrossPoint:])
relationsWithDupes =
for i in range(len(parent1MiddleCross)):
relationsWithDupes.append([parent2MiddleCross[i], parent1MiddleCross[i]])
relations =
for pair in relationsWithDupes:
for i in range(len(relationsWithDupes)):
if pair[0] in relationsWithDupes[i] or pair[1] in relationsWithDupes[i]:
if pair != relationsWithDupes[i]:
if pair[0] == relationsWithDupes[i][1]:
pair[0] = relationsWithDupes[i][0]
else:
pair[1] = relationsWithDupes[i][1]
if pair not in relations and pair[::-1] not in relations:
relations.append(pair)
for i in child1[:firstCrossPoint]:
for x in relations:
if i == x[0]:
i = x[1]
for i in child1[secondCrossPoint:]:
for x in relations:
if i == x[0]:
i = x[1]
for i in child2[:firstCrossPoint]:
for x in relations:
if i == x[1]:
i = x[0]
for i in child2[secondCrossPoint:]:
for x in relations:
if i == x[1]:
i = x[0]
print(child1)
print(child2)
python python-3.x genetic-algorithm magic-square crossover
I am new to genetic algorithms and made one the other day that recreated a target string. So I tried to make one that could make a Magic Square. It was ok until I got to the crossover part, realising I couldn't just do a single point crossover. So I attempted to perform a Partially Mapped Crossover, and I could not and still can't get it to work. I understand how the Partially Mapped Crossover works I just can't implement it into python. Since my code isn't complete yet I isolated the crossover function in a different program and changed it so the parents were a fixed list.
Can someone please correct my code or if it is completely wrong show me how to perform a Partial Mapped Crossover on 2 lists with integers 1 to 9?
Also, I am sorry and understand that my naming of variables isn't that good but I was just trying to get the program to work making constant edits.
import random
parent1 = [1,2,3,4,5,6,7,8,9]
parent2 = [5,4,6,7,2,1,3,9,8]
firstCrossPoint = random.randint(0,len(parent1)-1) #Creating parameters for random sublist
secondCrossPoint = random.randint(firstCrossPoint+1,len(parent1))
parent1MiddleCross = parent1[firstCrossPoint:secondCrossPoint]
parent2MiddleCross = parent2[firstCrossPoint:secondCrossPoint]
child1 = (parent1[:firstCrossPoint] + parent2MiddleCross + parent1[secondCrossPoint:])
child2 = (parent2[:firstCrossPoint] + parent1MiddleCross + parent2[secondCrossPoint:])
relationsWithDupes =
for i in range(len(parent1MiddleCross)):
relationsWithDupes.append([parent2MiddleCross[i], parent1MiddleCross[i]])
relations =
for pair in relationsWithDupes:
for i in range(len(relationsWithDupes)):
if pair[0] in relationsWithDupes[i] or pair[1] in relationsWithDupes[i]:
if pair != relationsWithDupes[i]:
if pair[0] == relationsWithDupes[i][1]:
pair[0] = relationsWithDupes[i][0]
else:
pair[1] = relationsWithDupes[i][1]
if pair not in relations and pair[::-1] not in relations:
relations.append(pair)
for i in child1[:firstCrossPoint]:
for x in relations:
if i == x[0]:
i = x[1]
for i in child1[secondCrossPoint:]:
for x in relations:
if i == x[0]:
i = x[1]
for i in child2[:firstCrossPoint]:
for x in relations:
if i == x[1]:
i = x[0]
for i in child2[secondCrossPoint:]:
for x in relations:
if i == x[1]:
i = x[0]
print(child1)
print(child2)
python python-3.x genetic-algorithm magic-square crossover
python python-3.x genetic-algorithm magic-square crossover
asked Nov 11 '18 at 23:57
Sam
3515
3515
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