forked from s444399/AI
143 lines
4.8 KiB
Python
143 lines
4.8 KiB
Python
from genetyczny.funkcje import *
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from easygui import *
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from genetyczny.Data import Data
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import matplotlib.pyplot as plt
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import numpy as np
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import matplotlib.animation as animation
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def start(data, wheel):
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ileGeneracji = 200
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ileWPopulacji = 16
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fragment = 0.2
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mutacja = 0.05
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unbox = 3
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data.kordyWozka = (wheel.ns, wheel.we)
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data.jakLiczycKoszt = unbox
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randomPopulation = genRandomPopulation(data, ileWPopulacji)
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for i in range(ileGeneracji):
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if i == 0:
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best2 = dwieNajlepsze(randomPopulation, data)
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else:
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x = genPopulacje(best2[0], best2[1], ileWPopulacji, fragment, mutacja)
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best2 = dwieNajlepsze(x, data)
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data.histZmian.append(data.best[1])
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break
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#rysujWykres(data, ileGeneracji, 1000, 2000)
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def ruszWozek(gen,data, moves, wheel):
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regalKordy = gen.kordy
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unbox = data.unbox[gen.ktoryUnbox]
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star = AStar()
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mapForAStar = data.astarMap[:]
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mapForAStar[regalKordy[0]][regalKordy[1]] = 0
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path = star.search([wheel.ns, wheel.we], regalKordy, mapForAStar, 1, 1)
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cns = wheel.ns
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cwe = wheel.we
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value = path[cns][cwe]
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while True:
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if cns > 0 and path[cns - 1][cwe] == (value + 1):
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cns = cns - 1
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moves.append(1)
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value = value + 1
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continue
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if cns < (len(mapForAStar) - 1) and path[cns + 1][cwe] == (value + 1):
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cns = cns + 1
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moves.append(2)
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value = value + 1
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continue
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if cwe > 0 and path[cns][cwe - 1] == (value + 1):
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cwe = cwe - 1
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moves.append(3)
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value = value + 1
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continue
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if cwe < (len(mapForAStar[0]) - 1) and path[cns][cwe + 1] == (value + 1):
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cns = cns + 1
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moves.append(4)
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value = value + 1
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continue
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break
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mapForAStar[regalKordy[0]][regalKordy[1]] = 1
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# wyszukiwanie ścieżki z miejsca podjęcia paczki do regału
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# zmienna path posiada macierz oraz kroki podjęte przez wózek
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path = star.search([regalKordy[0], regalKordy[1]], unbox, mapForAStar, 1, 1)
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#mapForAStar[where[0]][where[1]] = 1
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value = path[cns][cwe]
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while True:
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if cns > 0 and path[cns - 1][cwe] == (value + 1):
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cns = cns - 1
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moves.append(1)
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value = value + 1
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continue
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if cns < (len(mapForAStar) - 1) and path[cns + 1][cwe] == (value + 1):
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cns = cns + 1
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moves.append(2)
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value = value + 1
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continue
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if cwe > 0 and path[cns][cwe - 1] == (value + 1):
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cwe = cwe - 1
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moves.append(3)
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value = value + 1
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continue
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if cwe < (len(mapForAStar[0]) - 1) and path[cns][cwe + 1] == (value + 1):
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cwe = cwe + 1
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moves.append(4)
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value = value + 1
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continue
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break
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def rysujWykres(data, x, yStart, yEnd):
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plt.axis([0, x,yStart, yEnd])
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for i in range(0, len(data.doWykresu) - 1):
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y = data.doWykresu[i]
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x = i
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plt.scatter(x, y)
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plt.pause(0.0001)
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plt.show()
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def okno():
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good = True
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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"])
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if(fieldValues[0].isnumeric() and (fieldValues[0]!="")):
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good = False
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elif(good==True):
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msgbox("Wartość nie jest liczbą", "Błąd")
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good = False
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if(fieldValues[1].isnumeric() and (fieldValues[1]!="")):
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if((int(fieldValues[1])<=0) and (good==True) and (int(fieldValues[1])>= 1)):
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msgbox("Zla wartosc fragmentu")
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good = False
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elif (good == True):
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msgbox("Wartość nie jest liczbą", "Błąd")
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good = False
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if(fieldValues[2].isnumeric() and (fieldValues[2]!="")):
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if((int(fieldValues[1])<=0) and (good==True) and (int(fieldValues[1])>= 1)):
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msgbox("Zla wartosc mutacji")
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good = False
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elif (good == True):
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msgbox("Wartość nie jest liczbą", "Błąd")
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good = False
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if(fieldValues[3].isnumeric() and (fieldValues[3]!="")):
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if(((int(fieldValues[3]) != 0) or (int(fieldValues[3]) != 1) or (int(fieldValues[3]) != 2) or (int(fieldValues[3]) != 3)) and (good==True)):
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msgbox("Zla wartosc unboxa")
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good = False
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elif (good == True):
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msgbox("Wartość nie jest liczbą", "Błąd")
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good = False
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if(fieldValues[4].isnumeric() and (fieldValues[4]!="")):
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pass
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else:
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msgbox("Wartość nie jest liczbą", "Błąd")
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good = False
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if(good == True):
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return [fieldValues[0], fieldValues[1], fieldValues[2],fieldValues[3]]
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