Question

应该发生什么：

使用包含随机整数的属性创建一个随机的对象群体，所有对象都将以10的再现速度开始。（第16行）
对于所有具有＆＃34;数字＆＃34;的对象如果属性大于4，则将10添加到与该对象相关的chance_of_rep属性。（第21行）
基于＆＃34; chance_of_rep＆＃34;属性，决定是否重现后代。（第36行）
每一代，每个成员年龄为1，如果年龄大于1，就杀死该成员。（第47行）

真正发生的事情：

＆＃34; chance_of_rep＆＃34;属性将在50时达到最高，并且不会高于此值。为什么是这样？除此之外，其他一切都是应有的（至少我是这么认为的，请提出任何看似错误的内容）。

import random as r
import os
import sys
import time
from subprocess import call
#call('color a', shell=True)
class Entity(object):
    def __init__(self, number):
        self.number = number
        self.chance = 10
        self.age = 0
class Fitness(object):
    def __init__(self, population):
        self.population = population

    def StartPopulation(self, pop, entities):
        for x in range(pop):
            entity = Entity(r.randint(3, 5))
            entities.append(entity)

    def FitnessMethod(self, entities):

        for x in entities:
            if x.number >= 5:
                x.chance += 10
            else: 
                x.chance += 0

            if x.chance > 100:
                x.chance = 100

            else: 
                x.chance += 0


    def Reproduce(self,entities):

        for x in entities:
            if r.randint(0, 100) < x.chance:    
                random_children = r.randint(1, 3)
                for a in range(random_children):    
                    entity = Entity(x.number)
                    entity.chance = x.chance
                    entities.append(entity)
                x.age += 1

    def Aging(self, entities):
        for x in entities:
            if x.age >= 2:
                entities.remove(x)          

pop = r.randint(3, 5)
entities = []
Fitness = Fitness(pop)
Fitness.StartPopulation(pop, entities)
for x in entities:
    print x.number, x.chance
print "~~~~~~~~~~~~~\n"
raw_input()


for x in range(30):
    Fitness.FitnessMethod(entities)
    Fitness.Reproduce(entities)
    Fitness.Aging(entities)
    for x in entities:
        print x.number, x.age, x.chance
    print "Generation_Mutation_Complete"
raw_input()

顺便说一句，这不是一个家庭作业，它是一个个人项目。

Answer 1

好吧，不用感谢oli CharlesWorth，我纠正了这个问题。这是更正后的代码：

import random as r
import os
import sys
import time
from subprocess import call
#call('color a', shell=True)
class Entity(object):
    def __init__(self, number):
        self.number = number
        self.chance = 10
        self.age = 0
class Fitness(object):
    def __init__(self, population):
        self.population = population

    def StartPopulation(self, pop, entities):
        for x in range(pop):
            entity = Entity(r.randint(3, 5))
            entities.append(entity)

    def FitnessMethod(self, entities):

        for x in entities:
            if x.number >= 5:
                x.chance += 10
            else: 
                x.chance += 0

            if x.chance > 100:
                x.chance = 100

            else: 
                x.chance += 0


    def Reproduce(self,entities):
        x = entities[r.randint(0, (len(entities) - 1))]
        if r.randint(0, 100) < x.chance:    
            random_children = r.randint(1, 3)
            for a in range(random_children):    
                entity = Entity(x.number)
                entity.chance = x.chance
                entities.append(entity)
            x.age += 1

    def Aging(self, entities):
        for x in entities:
            if x.age >= 2:
                entities.remove(x)          

pop = r.randint(3, 5)
entities = []
Fitness = Fitness(pop)
Fitness.StartPopulation(pop, entities)
for x in entities:
    print x.number, x.chance
print "~~~~~~~~~~~~~\n"
raw_input()


for x in range(30):
    Fitness.FitnessMethod(entities)
    Fitness.Reproduce(entities)
    Fitness.Aging(entities)
    for x in entities:
        print x.number, x.age, x.chance
    print "Generation_Mutation_Complete"
print "Generation_Mutation_Complete"    
raw_input()

进化算法再现限制的机会

1 个答案: