forked from s444399/AI
kompletny algorytm genetyczny bez rozwozenia boxow i interface
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
<entry file="file://$PROJECT_DIR$/genetyczny/Gene.py">
|
||||
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|
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|
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|
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|
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
<entry file="file://$PROJECT_DIR$/main.py">
|
||||
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|
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</folding>
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/AStarState.py">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="153">
|
||||
@ -576,76 +631,38 @@
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/AStar.py">
|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||
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|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/program.py">
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||||
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||||
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|
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|
||||
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|
||||
</entry>
|
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<entry file="file://$PROJECT_DIR$/genetyczny/funkcje.py">
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||||
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|
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|
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</provider>
|
||||
</entry>
|
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<entry file="file://$PROJECT_DIR$/Mapa/shelf.py">
|
||||
<entry file="file://$PROJECT_DIR$/program.py">
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|
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</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/genetyczny/Gene.py">
|
||||
<entry file="file://$PROJECT_DIR$/genetyczny/genetyczny.py">
|
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|
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</state>
|
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</provider>
|
||||
</entry>
|
||||
|
||||
Binary file not shown.
Binary file not shown.
Binary file not shown.
@ -8,7 +8,11 @@ class Data:
|
||||
self.mapa = []
|
||||
self.unbox = []
|
||||
self.astarMap = []
|
||||
|
||||
self.geny = []
|
||||
self.kordyWozka = None
|
||||
self.jakLiczycKoszt = None
|
||||
self.best = None
|
||||
self.histZmian = []
|
||||
|
||||
def genMap(self, mapa):
|
||||
tmpMap =[]
|
||||
|
||||
@ -1,8 +1,8 @@
|
||||
|
||||
|
||||
class Gene:
|
||||
def __init__(self, poczatkowa, koncowa, name):
|
||||
self.poczatkowa = poczatkowa
|
||||
self.koncowa = koncowa
|
||||
self.koszt = 0
|
||||
self.name = name
|
||||
def __init__(self, kordydnaty):
|
||||
self.kordy = kordydnaty
|
||||
self.unbox1 = None
|
||||
self.unbox2 = None
|
||||
self.ktoryUnbox = None
|
||||
Binary file not shown.
BIN
genetyczny/__pycache__/Gene.cpython-37.pyc
Normal file
BIN
genetyczny/__pycache__/Gene.cpython-37.pyc
Normal file
Binary file not shown.
Binary file not shown.
@ -3,6 +3,20 @@ from genetyczny.Gene import Gene
|
||||
from Mapa.box import Box
|
||||
from AStar import AStar
|
||||
import random
|
||||
import numpy
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
def generateGeny(data):
|
||||
zajeteRegaly = data.zajeteRegaly[:]
|
||||
for r in zajeteRegaly:
|
||||
g = Gene(r)
|
||||
g.unbox1 = policzCost(data.astarMap,r,data.unbox[0])
|
||||
if(len(data.unbox) > 1):
|
||||
g.unbox2 = policzCost(data.astarMap,r,data.unbox[1])
|
||||
data.geny.append(g)
|
||||
|
||||
|
||||
def znajdzUnbox(data,mapa):
|
||||
@ -15,8 +29,7 @@ def znajdzUnbox(data,mapa):
|
||||
iterator += 1
|
||||
|
||||
data.unbox = unboxy
|
||||
def wybierzUnbox(data):
|
||||
return random.choice(data.unbox)
|
||||
|
||||
|
||||
|
||||
def policzCost(mapaBoxy, poczatek, koniec):
|
||||
@ -24,31 +37,69 @@ def policzCost(mapaBoxy, poczatek, koniec):
|
||||
koszt = astar.search(poczatek, koniec, mapaBoxy, 1, 0)
|
||||
return koszt
|
||||
|
||||
def generateChromosome(data, mapaBoxy, wheelxy):
|
||||
chromosome = []
|
||||
regaly = data.zajeteRegaly
|
||||
random.shuffle(regaly)
|
||||
|
||||
|
||||
for r in regaly:
|
||||
gen0 = Gene(wheelxy,r,"poczatek-regal")
|
||||
gen0.koszt = policzCost(mapaBoxy, wheelxy, r)
|
||||
chromosome.append(gen0)
|
||||
|
||||
unbox = wybierzUnbox(data)
|
||||
gen1 = Gene(r,unbox,"regal-unbox")
|
||||
gen1.koszt = policzCost(mapaBoxy, r, unbox)
|
||||
chromosome.append(gen1)
|
||||
def genRandomChromosome(data):
|
||||
chromosome = data.geny[:]
|
||||
random.shuffle(chromosome)
|
||||
krotkaKosztJakiUnbox = None
|
||||
unboxLastGen = None
|
||||
|
||||
for gen in chromosome:
|
||||
gen.ktoryUnbox = unboxLastGen
|
||||
krotkaKosztJakiUnbox = wybierzUnbox(gen, data.jakLiczycKoszt)
|
||||
unboxLastGen = krotkaKosztJakiUnbox[1]
|
||||
return chromosome
|
||||
|
||||
def generatePopulation(data, mapaBoxy, wheelxy, ileWPopulacji):
|
||||
def genRandomPopulation(data, ileWPopulacji):
|
||||
populacja = []
|
||||
for i in range(ileWPopulacji):
|
||||
populacja.append(generateChromosome(data, mapaBoxy, wheelxy))
|
||||
|
||||
populacja.append(genRandomChromosome(data))
|
||||
return populacja
|
||||
|
||||
|
||||
def fitness(chromosome, data):
|
||||
koszt = 0
|
||||
unboxPoprzedniegoGenu = None
|
||||
|
||||
for item, gen in enumerate(chromosome):
|
||||
if(item == 0):
|
||||
koszt += policzCost(data.astarMap, data.kordyWozka, gen.kordy)
|
||||
krotkaKosztJakiUnbox = wybierzUnbox(gen, data.jakLiczycKoszt)
|
||||
koszt += krotkaKosztJakiUnbox[0]
|
||||
unboxPoprzedniegoGenu = krotkaKosztJakiUnbox[1]
|
||||
|
||||
else:
|
||||
if unboxPoprzedniegoGenu == 0:
|
||||
koszt += gen.unbox1
|
||||
elif unboxPoprzedniegoGenu == 1:
|
||||
koszt += gen.unbox2
|
||||
|
||||
krotkaKosztJakiUnbox = wybierzUnbox(gen, data.jakLiczycKoszt)
|
||||
koszt += krotkaKosztJakiUnbox[0]
|
||||
unboxPoprzedniegoGenu = krotkaKosztJakiUnbox[1]
|
||||
|
||||
|
||||
return koszt
|
||||
|
||||
def wybierzUnbox(gen, jakLiczycKoszt):
|
||||
if(jakLiczycKoszt == 0):
|
||||
x = random.choice([gen.unbox1, gen.unbox2])
|
||||
if(x == gen.unbox1):
|
||||
y = 0
|
||||
else:
|
||||
y= 1
|
||||
return (x,y)
|
||||
elif(jakLiczycKoszt == 1):
|
||||
return (gen.unbox1,0)
|
||||
elif(jakLiczycKoszt == 2):
|
||||
return (gen.unbox2,1)
|
||||
elif(jakLiczycKoszt == 3):
|
||||
x = min(gen.unbox1,gen.unbox2)
|
||||
if(x == gen.unbox1):
|
||||
y = 0
|
||||
else:
|
||||
y = 1
|
||||
return (x,y)
|
||||
|
||||
def randomBox(mapa, regals, ile):
|
||||
|
||||
regals = regals
|
||||
@ -84,3 +135,83 @@ def znajdzBox(mapa, regals):
|
||||
if(tmp == True):
|
||||
zajeteRegaly.append((x,y))
|
||||
return zajeteRegaly
|
||||
|
||||
def dwieNajlepsze(populacja, data):
|
||||
tmpPopulacja = populacja[:]
|
||||
chromFitness = []
|
||||
|
||||
for chrom in populacja:
|
||||
chromFitness.append(fitness(chrom,data))
|
||||
|
||||
bestValue = min(chromFitness)
|
||||
bestChromIndex = chromFitness.index(bestValue)
|
||||
pierwsza = tmpPopulacja[bestChromIndex]
|
||||
if (data.best == None):
|
||||
data.best = (pierwsza[:],bestValue)
|
||||
elif(data.best[1] > bestValue):
|
||||
data.best = (pierwsza[:],bestValue)
|
||||
|
||||
tmpPopulacja.pop(bestChromIndex)
|
||||
chromFitness.pop(bestChromIndex)
|
||||
|
||||
bestValue = min(chromFitness)
|
||||
bestChromIndex = chromFitness.index(bestValue)
|
||||
druga = tmpPopulacja[bestChromIndex]
|
||||
tmpPopulacja.pop(bestChromIndex)
|
||||
chromFitness.pop(bestChromIndex)
|
||||
|
||||
|
||||
return (pierwsza, druga)
|
||||
|
||||
def genPopulacje(pierwszy, drugi, ileWPopulacji, fragmentLiczba, wspMutacji):
|
||||
ileWChrom = len(pierwszy)
|
||||
fragment = round(fragmentLiczba*ileWChrom)
|
||||
nowaPopulacja = []
|
||||
|
||||
for i in range(ileWPopulacji):
|
||||
nowaPopulacja.append(crossover(pierwszy,drugi,fragment, wspMutacji))
|
||||
|
||||
return nowaPopulacja
|
||||
|
||||
def crossover(pierwszy, drugi, fragmentLiczba, wspMutacji):
|
||||
ileWChrom = len(pierwszy)
|
||||
tmp = random.randint(0, ileWChrom-fragmentLiczba)
|
||||
kordyFragment = (tmp,tmp+fragmentLiczba)
|
||||
nowyChrom = [None] * ileWChrom
|
||||
iterator = kordyFragment[1]
|
||||
pomIterator = kordyFragment[1]
|
||||
nowyChrom[kordyFragment[0]:kordyFragment[1]] = pierwszy[kordyFragment[0]:kordyFragment[1]]
|
||||
|
||||
while(None in nowyChrom):
|
||||
if(iterator > ileWChrom - 1):
|
||||
iterator = 0
|
||||
if(pomIterator > ileWChrom - 1):
|
||||
pomIterator = 0
|
||||
if(nowyChrom[iterator] == None and drugi[pomIterator] not in nowyChrom):
|
||||
nowyChrom[iterator] = drugi[pomIterator]
|
||||
iterator += 1
|
||||
pomIterator += 1
|
||||
elif(nowyChrom[iterator] == None and drugi[pomIterator] in nowyChrom):
|
||||
pomIterator +=1
|
||||
nowyChrom = mutate(wspMutacji, nowyChrom)
|
||||
return nowyChrom
|
||||
|
||||
|
||||
def updateMap(data, map, mapForAstar, regals):
|
||||
data.mapa = map
|
||||
|
||||
znajdzUnbox(data, map)
|
||||
data.zajeteRegaly = znajdzBox(map, regals)
|
||||
data.astarMap = data.genMap(mapForAstar)
|
||||
|
||||
def mutate(wspMutacji, chrom):
|
||||
ileWChrom = len(chrom)
|
||||
ileZmian = round(ileWChrom * wspMutacji)
|
||||
for i in range(ileZmian):
|
||||
pom = None
|
||||
pierw = random.randint(0,ileWChrom - 1)
|
||||
drug = random.randint(0,ileWChrom - 1)
|
||||
pom = chrom[pierw]
|
||||
chrom[pierw] = chrom[drug]
|
||||
chrom[drug] = pom
|
||||
return chrom
|
||||
1
genetyczny/genetyczny.py
Normal file
1
genetyczny/genetyczny.py
Normal file
@ -0,0 +1 @@
|
||||
|
||||
2
main.py
2
main.py
@ -34,7 +34,7 @@ def main():
|
||||
"""
|
||||
if good:
|
||||
szerokosc = 15#min 6
|
||||
wysokosc = 8 #min 7
|
||||
wysokosc = 10 #min 7
|
||||
kruche = 1
|
||||
latwopalne = 1
|
||||
radioaktywne = 1
|
||||
|
||||
22
program.py
22
program.py
@ -58,12 +58,9 @@ 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.mapForAStar[i][j] = 1
|
||||
|
||||
self.map = randomBox(self.map, self.regals, 10)
|
||||
self.data.mapa = self.map
|
||||
znajdzUnbox(self.data,self.map)
|
||||
self.data.zajeteRegaly = znajdzBox(self.map, self.regals)
|
||||
tmp = self.mapForAStar[:]
|
||||
self.data.astarMap = self.data.genMap(tmp)
|
||||
self.map = randomBox(self.map, self.regals, 25)
|
||||
updateMap(self.data, self.map, self.mapForAStar, self.regals)
|
||||
generateGeny(self.data)
|
||||
|
||||
|
||||
#################################################
|
||||
@ -95,7 +92,18 @@ class MainWindow:
|
||||
print("eee")
|
||||
"""
|
||||
elif(event.type==pygame.KEYDOWN):
|
||||
populacja = generatePopulation(self.data, self.data.astarMap, [self.wheel.ns, self.wheel.we], 100)
|
||||
|
||||
self.data.kordyWozka = (self.wheel.ns, self.wheel.we)
|
||||
self.data.jakLiczycKoszt = 1
|
||||
|
||||
randomPopulation = genRandomPopulation(self.data, 5)
|
||||
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)
|
||||
elif(event.type==pygame.MOUSEBUTTONDOWN):
|
||||
|
||||
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