1
0
forked from s444399/AI

blad w algorytmie, nie generuje nowych obiektow tylko nadpisuje juz wygenerowane

This commit is contained in:
tomasz 2020-05-18 18:55:18 +02:00
parent ac04e30a96
commit 9c48010c38
12 changed files with 317 additions and 178 deletions

View File

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@ -173,10 +173,10 @@ class Generate:
all[wysokosc-1][szerokosc-3] = 23 all[wysokosc-1][szerokosc-3] = 23
all[wysokosc-2][szerokosc-4] = 1 all[wysokosc-2][szerokosc-4] = 1
""" Drugi wyjazd
all[wysokosc-2][2] = 2 all[wysokosc-2][2] = 2
all[wysokosc-1][2] = 23 all[wysokosc-1][2] = 23
all[wysokosc-2][3] = 1 all[wysokosc-2][3] = 1
"""
return all return all

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@ -13,6 +13,7 @@ class Data:
self.jakLiczycKoszt = None self.jakLiczycKoszt = None
self.best = None self.best = None
self.histZmian = [] self.histZmian = []
self.doWykresu = []
def genMap(self, mapa): def genMap(self, mapa):
tmpMap =[] tmpMap =[]

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142
genetyczny/eee.py Normal file
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@ -0,0 +1,142 @@
from genetyczny.funkcje import *
from easygui import *
from genetyczny.Data import Data
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.animation as animation
def start(data, wheel):
ileGeneracji = 200
ileWPopulacji = 16
fragment = 0.2
mutacja = 0.05
unbox = 3
data.kordyWozka = (wheel.ns, wheel.we)
data.jakLiczycKoszt = unbox
randomPopulation = genRandomPopulation(data, ileWPopulacji)
for i in range(ileGeneracji):
if i == 0:
best2 = dwieNajlepsze(randomPopulation, data)
else:
x = genPopulacje(best2[0], best2[1], ileWPopulacji, fragment, mutacja)
best2 = dwieNajlepsze(x, data)
data.histZmian.append(data.best[1])
break
#rysujWykres(data, ileGeneracji, 1000, 2000)
def ruszWozek(gen,data, moves, wheel):
regalKordy = gen.kordy
unbox = data.unbox[gen.ktoryUnbox]
star = AStar()
mapForAStar = data.astarMap[:]
mapForAStar[regalKordy[0]][regalKordy[1]] = 0
path = star.search([wheel.ns, wheel.we], regalKordy, mapForAStar, 1, 1)
cns = wheel.ns
cwe = wheel.we
value = path[cns][cwe]
while True:
if cns > 0 and path[cns - 1][cwe] == (value + 1):
cns = cns - 1
moves.append(1)
value = value + 1
continue
if cns < (len(mapForAStar) - 1) and path[cns + 1][cwe] == (value + 1):
cns = cns + 1
moves.append(2)
value = value + 1
continue
if cwe > 0 and path[cns][cwe - 1] == (value + 1):
cwe = cwe - 1
moves.append(3)
value = value + 1
continue
if cwe < (len(mapForAStar[0]) - 1) and path[cns][cwe + 1] == (value + 1):
cns = cns + 1
moves.append(4)
value = value + 1
continue
break
mapForAStar[regalKordy[0]][regalKordy[1]] = 1
# wyszukiwanie ścieżki z miejsca podjęcia paczki do regału
# zmienna path posiada macierz oraz kroki podjęte przez wózek
path = star.search([regalKordy[0], regalKordy[1]], unbox, mapForAStar, 1, 1)
#mapForAStar[where[0]][where[1]] = 1
value = path[cns][cwe]
while True:
if cns > 0 and path[cns - 1][cwe] == (value + 1):
cns = cns - 1
moves.append(1)
value = value + 1
continue
if cns < (len(mapForAStar) - 1) and path[cns + 1][cwe] == (value + 1):
cns = cns + 1
moves.append(2)
value = value + 1
continue
if cwe > 0 and path[cns][cwe - 1] == (value + 1):
cwe = cwe - 1
moves.append(3)
value = value + 1
continue
if cwe < (len(mapForAStar[0]) - 1) and path[cns][cwe + 1] == (value + 1):
cwe = cwe + 1
moves.append(4)
value = value + 1
continue
break
def rysujWykres(data, x, yStart, yEnd):
plt.axis([0, x,yStart, yEnd])
for i in range(0, len(data.doWykresu) - 1):
y = data.doWykresu[i]
x = i
plt.scatter(x, y)
plt.pause(0.0001)
plt.show()
def okno():
good = True
fieldValues = multenterbox("Wprowadź warunki początkowe", "Start algorytmu genetycznego", ["Ile chrom. w generacji", "Wielkosc dziedziczonego fragmentu (x>0 and x<1)", "Wartosc mutacji (x>0 and x<1)", "Unbox: (0or 1 or 2 or 2)", "Ile generacji"])
if(fieldValues[0].isnumeric() and (fieldValues[0]!="")):
good = False
elif(good==True):
msgbox("Wartość nie jest liczbą", "Błąd")
good = False
if(fieldValues[1].isnumeric() and (fieldValues[1]!="")):
if((int(fieldValues[1])<=0) and (good==True) and (int(fieldValues[1])>= 1)):
msgbox("Zla wartosc fragmentu")
good = False
elif (good == True):
msgbox("Wartość nie jest liczbą", "Błąd")
good = False
if(fieldValues[2].isnumeric() and (fieldValues[2]!="")):
if((int(fieldValues[1])<=0) and (good==True) and (int(fieldValues[1])>= 1)):
msgbox("Zla wartosc mutacji")
good = False
elif (good == True):
msgbox("Wartość nie jest liczbą", "Błąd")
good = False
if(fieldValues[3].isnumeric() and (fieldValues[3]!="")):
if(((int(fieldValues[3]) != 0) or (int(fieldValues[3]) != 1) or (int(fieldValues[3]) != 2) or (int(fieldValues[3]) != 3)) and (good==True)):
msgbox("Zla wartosc unboxa")
good = False
elif (good == True):
msgbox("Wartość nie jest liczbą", "Błąd")
good = False
if(fieldValues[4].isnumeric() and (fieldValues[4]!="")):
pass
else:
msgbox("Wartość nie jest liczbą", "Błąd")
good = False
if(good == True):
return [fieldValues[0], fieldValues[1], fieldValues[2],fieldValues[3]]

View File

@ -150,6 +150,7 @@ def dwieNajlepsze(populacja, data):
data.best = (pierwsza[:],bestValue) data.best = (pierwsza[:],bestValue)
elif(data.best[1] > bestValue): elif(data.best[1] > bestValue):
data.best = (pierwsza[:],bestValue) data.best = (pierwsza[:],bestValue)
data.doWykresu.append(bestValue)
tmpPopulacja.pop(bestChromIndex) tmpPopulacja.pop(bestChromIndex)
chromFitness.pop(bestChromIndex) chromFitness.pop(bestChromIndex)

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@ -1 +0,0 @@

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@ -15,6 +15,7 @@ from neurons import Neurons
from whereDecision import WhereDecision from whereDecision import WhereDecision
from Evencik import Evencik from Evencik import Evencik
from genetyczny.Data import Data from genetyczny.Data import Data
from genetyczny.eee import *
class MainWindow: class MainWindow:
def __init__(self, szerokosc, wysokosc, kruche, latwopalne, radioaktywne, niebezpieczne): def __init__(self, szerokosc, wysokosc, kruche, latwopalne, radioaktywne, niebezpieczne):
@ -58,7 +59,7 @@ class MainWindow:
self.map[i][j] = Shelf(self.screen, self.cell, i, j, (self.map[i][j]-3)%4, (self.map[i][j]-3)//4) self.map[i][j] = Shelf(self.screen, self.cell, i, j, (self.map[i][j]-3)%4, (self.map[i][j]-3)//4)
self.mapForAStar[i][j] = 1 self.mapForAStar[i][j] = 1
self.map = randomBox(self.map, self.regals, 25) self.map = randomBox(self.map, self.regals, 5)
updateMap(self.data, self.map, self.mapForAStar, self.regals) updateMap(self.data, self.map, self.mapForAStar, self.regals)
generateGeny(self.data) generateGeny(self.data)
@ -81,31 +82,22 @@ class MainWindow:
self.wheel.move(Evencik(pygame.K_LEFT), self.map) self.wheel.move(Evencik(pygame.K_LEFT), self.map)
elif (self.moves[0]==4): elif (self.moves[0]==4):
self.wheel.move(Evencik(pygame.K_RIGHT), self.map) self.wheel.move(Evencik(pygame.K_RIGHT), self.map)
self.moves.pop(0) self.moves.pop(0)
def events(self): def events(self):
for event in pygame.event.get(): for event in pygame.event.get():
if(event.type==pygame.QUIT): if(event.type==pygame.QUIT):
sys.exit() sys.exit()
"""
elif(event.type == pygame.K_p):
print("eee")
"""
elif(event.type==pygame.KEYDOWN): elif(event.type==pygame.KEYDOWN):
if event.key == pygame.K_g:
self.data.kordyWozka = (self.wheel.ns, self.wheel.we) start(self.data,self.wheel)
self.data.jakLiczycKoszt = 1 for gen in self.data.best[0]:
ruszWozek(gen,self.data, self.moves, self.wheel)
randomPopulation = genRandomPopulation(self.data, 5) elif len(self.moves)==0:
for i in range(100):
if i == 0:
best2 = dwieNajlepsze(randomPopulation, self.data)
else:
x = genPopulacje(best2[0], best2[1], 5, 0.2, 0.3)
best2 = dwieNajlepsze(x, self.data)
self.data.histZmian.append(self.data.best[1])
if len(self.moves)==0:
self.wheel.move(event, self.map) self.wheel.move(event, self.map)
elif(event.type==pygame.MOUSEBUTTONDOWN): elif(event.type==pygame.MOUSEBUTTONDOWN):
if (type(self.map[0][2]) == Floor): if (type(self.map[0][2]) == Floor):
whatIsIt = self.neurons.whatIsIt(easygui.fileopenbox("Wybierz zdjęcie paczki", "Wybierz zdjęcie paczki", filetypes = [["*.jpg", "*.jpeg", "*.png", "Pliki graficzne"]])) whatIsIt = self.neurons.whatIsIt(easygui.fileopenbox("Wybierz zdjęcie paczki", "Wybierz zdjęcie paczki", filetypes = [["*.jpg", "*.jpeg", "*.png", "Pliki graficzne"]]))