How to perform Partial-mapped crossover in python3?












1














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)









share|improve this question



























    1














    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)









    share|improve this question

























      1












      1








      1







      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)









      share|improve this question













      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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      asked Nov 11 '18 at 23:57









      Sam

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