本文整理汇总了Python中Population.Population.save_individual方法的典型用法代码示例。如果您正苦于以下问题：Python Population.save_individual方法的具体用法？Python Population.save_individual怎么用？Python Population.save_individual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Population.Population的用法示例。
在下文中一共展示了Population.save_individual方法的2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: tournament_selection
# 需要导入模块: from Population import Population [as 别名]
# 或者: from Population.Population import save_individual [as 别名]
def tournament_selection(self, population):
# Create a new tournament population
tournament_population = Population(self.tournament_size, False)
for i in range(0, self.tournament_size):
# Select a random individual from the pool for breeding qualification
index = random.randint(0, population.get_size() - 1)
tournament_population.save_individual(i, population.get_individual(index))
# Return the fittest individual from the tournament for breeding
return tournament_population.get_fittest()示例2: evolve
# 需要导入模块: from Population import Population [as 别名]
# 或者: from Population.Population import save_individual [as 别名]
def evolve(self, population):
new_population = Population(population.get_size(), False)
# Save the best individual for the next generation if elitism is activated
if self.elitism:
new_population.save_individual(0, population.get_fittest())
# Create Crossovers
for i in range(self.elitism_offset, population.get_size()):
parent_1 = self.tournament_selection(population)
parent_2 = self.tournament_selection(population)
child = self.crossover(parent_1, parent_2)
new_population.save_individual(i, child)
# Create mutants
for i in range(self.elitism_offset, new_population.get_size()):
self.mutate(new_population.get_individual(i))
return new_population