本文整理汇总了Python中population.Population.overProduction方法的典型用法代码示例。如果您正苦于以下问题:Python Population.overProduction方法的具体用法?Python Population.overProduction怎么用?Python Population.overProduction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.overProduction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: __init__
# 需要导入模块: from population import Population [as 别名]
# 或者: from population.Population import overProduction [as 别名]
class EA:
def __init__(self ,numOfGenerations, numOfChildren, numOfAdults, numOfParents, bitsInGenotypes, fitnessMethod, adultSelectionMethod, parentSelectionMethod):
self.numOfGenerations = numOfGenerations
self.numOfChildren = numOfChildren
self.numOfAdults = numOfAdults
self.numOfParents = numOfParents
self.pop = Population(bitsInGenotypes)
self.adultSelectionMethod = adultSelectionMethod
self.parentSelectionMethod = parentSelectionMethod
self.pop.initializeChildPopulation(self.numOfChildren)
self.startEvolution()
def startEvolution(self):
for generation in range(self.numOfGenerations):
self.pop.developGenotypePopulation()
self.pop.testPopulation()
fitnessSum = 0
for c in self.pop.developedChildren:
fitnessSum += c.testScore
print(generation)
print(fitnessSum)
self.adultSelection()
self.parentSelection()
self.pop.mateSelectedParents(self.numOfChildren)
def adultSelection(self):
if self.adultSelectionMethod == 0:
self.pop.fullGenerationalReplacement()
if self.adultSelectionMethod == 1:
self.pop.overProduction(self.numOfAdults)
if self.adultSelectionMethod == 2:
self.pop.generationalMixing(self.numOfAdults)
def parentSelection(self):
if self.parentSelectionMethod == 0:
self.pop.fitnessProportonateParentSelection(self.numOfParents)
if self.parentSelectionMethod == 1:
self.pop.sigmaScalingParentSelection(self.numOfParents)
if self.parentSelectionMethod == 2:
self.pop.tournamentParentSelection(self.numOfParents)
if self.parentSelectionMethod == 3:
self.pop.boltzmannParentSelection(self.numOfParents)