本文整理汇总了Python中track.Track.approximate_positions方法的典型用法代码示例。如果您正苦于以下问题：Python Track.approximate_positions方法的具体用法？Python Track.approximate_positions怎么用？Python Track.approximate_positions使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类track.Track的用法示例。
在下文中一共展示了Track.approximate_positions方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: evolve
# 需要导入模块: from track import Track [as 别名]
# 或者: from track.Track import approximate_positions [as 别名]
def evolve(self):
"""Evolves the population."""
graded = [ (self.fitness(x), x) for x in self.tracks ]
grade = self.grade(graded)
graded = [ x[1] for x in sorted(graded, key=itemgetter(0)) ]
retain_length = int(len(graded)*self.retain_percentage)
parents = graded[:retain_length]
# randomly add other individuals to promote genetic diversity
for individual in graded[retain_length:]:
if self.random_select_chance > random():
parents.append(individual)
# mutate some individuals
for i, _ in enumerate(parents):
if self.mutate_chance > random():
pos_to_mutate = randint(0, len(parents[i].positions) - 1)
mutated_positions = parents[i].positions
point_x = randint(0, self.map.size_x)
point_y = randint(0, self.map.size_y)
mutated_positions[pos_to_mutate] = Point(point_x, point_y)
mutated_individual = Track(self.map)
mutated_individual.approximate_positions(mutated_positions)
parents[i] = mutated_individual
# crossover parents to create children
parents_length = len(parents)
desired_length = len(self.tracks) - parents_length
children = []
for i in range(desired_length):
male = 0
female = 0
while male == female:
male = randint(0, parents_length - 1)
female = randint(0, parents_length - 1)
male = parents[male]
female = parents[female]
half_male = int(len(male.positions) / 2)
half_female = int(len(female.positions) / 2)
child_positions = (male.positions[:half_male] +
female.positions[half_female:] )
child = Track(self.map)
child.approximate_positions(child_positions)
children.append(child)
parents.extend(children)
self.tracks = parents
return grade