def select_at_random(self):
if len(self.location_store) == 0:
return GeneticFunctions.create_random_location(
self.parameters.dimensions)
index = random.randint(0, len(self.location_store) - 1)
return self.locations[index]
def selectLocation(self, demeLocation):
member_count = len(self.deme_controller.members)
if member_count == 1:
return super(NQueensGeneticMember,
self).selectLocation(demeLocation)
new_location = GeneticFunctions.switch_positions(
demeLocation, self.mutationCount)
return super(NQueensGeneticMember, self).selectLocation(new_location)
def create_unique_location(size, import_size, x_offset):
random_location = GeneticFunctions.create_random_location(import_size)
current_value = import_size
start_val = [(current_value + x) for x in range(0, x_offset)]
current_value = current_value + x_offset
start_string = []
for v in start_val:
start_string.append(v)
end_position = import_size + x_offset
end_length = size - end_position
end_val = [(current_value + x) for x in range(0, end_length)]
end_string = []
for v in end_val:
end_string.append(v)
start_string.extend(random_location)
start_string.extend(end_string)
return start_string
def selectLocation(self, demeLocation):
currentLocation = demeLocation
currentLocation = GeneticFunctions.switch_positions(
currentLocation, self.mutationCount)
return currentLocation
def build(self, deme_location, location_store):
new_location = GeneticFunctions.switch_positions(deme_location, 3)
return NQueensGeneticMember(self.parameters, new_location, self.parameters.mutation_count)
def build(self, deme_location, location_store):
new_location = GeneticFunctions.create_random_location(
self.parameters.dimensions)
return NQueensGeneticMember(self.parameters, new_location, 1)
def build(self, build_params):
return GeneticFunctions.create_random_location(
self.parameters.dimensions)