def _insertionMutation(self, vec):
vecSize = len(vec)
index1, insertionIndex = getValidIndexes(vecSize)
indexVal = vec[index1]
vec.pop(index1)
vec.insert(insertionIndex, indexVal)
return vec
def mutate(self, vec):
vecSize = len(vec)
# get two random indexes and exchange them
index1, index2 = getValidIndexes(vecSize)
temp = vec[index1]
vec[index1] = vec[index2]
vec[index2] = temp
return vec
def mutate(self, vec):
vecSize = len(vec)
# get two random indexes and shuffle their range
index1, index2 = getValidIndexes(vecSize)
elementsToShuffle = vec[index1:index2 + 1]
random.shuffle(elementsToShuffle)
return np.concatenate(
(vec[:index1], elementsToShuffle, vec[index2 + 1:]))
def _swapMutation(self, vec):
vecSize = len(vec)
index1, index2 = getValidIndexes(vecSize)
vec[index1], vec[index2] = vec[index2], vec[index1]
return vec
def makeNewChild(self, parent1, parent2):
matingIndex1, matingIndex2 = getValidIndexes(len(parent1.getVec()))
childVec = np.concatenate((parent1.getVec()[:matingIndex1],
parent2.getVec()[matingIndex1:matingIndex2],
parent1.getVec()[matingIndex2:]))
return GeneticEntity(childVec)
def generateOneNeighbor(self, vec):
index1, index2 = getValidIndexes(len(vec))
neighbor = vec[:index1] + np.flip(
vec[index1:index2]).tolist() + vec[index2:]
return neighbor