forked from s444399/AI
dzialajacy algorytm oraz zbieranie boxow
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parent
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commit
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class Gene:
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def __init__(self, kordydnaty):
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self.kordy = kordydnaty
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def __init__(self):
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self.kordy = None
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self.unbox1 = None
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self.unbox2 = None
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self.ktoryUnbox = None
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self.unboxWczesniejszegoGenu = None
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self.kordyUnboxa = None
|
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@ -7,11 +7,11 @@ import matplotlib.animation as animation
|
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|
||||
def start(data, wheel):
|
||||
|
||||
ileGeneracji = 200
|
||||
ileGeneracji = 500
|
||||
ileWPopulacji = 16
|
||||
fragment = 0.2
|
||||
fragment = 0.5
|
||||
mutacja = 0.05
|
||||
unbox = 3
|
||||
unbox = 1
|
||||
|
||||
|
||||
data.kordyWozka = (wheel.ns, wheel.we)
|
||||
@ -22,24 +22,27 @@ def start(data, wheel):
|
||||
if i == 0:
|
||||
best2 = dwieNajlepsze(randomPopulation, data)
|
||||
else:
|
||||
x = genPopulacje(best2[0], best2[1], ileWPopulacji, fragment, mutacja)
|
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x = genPopulacje(data,best2[0], best2[1], ileWPopulacji, fragment, mutacja)
|
||||
best2 = dwieNajlepsze(x, data)
|
||||
del x
|
||||
|
||||
data.histZmian.append(data.best[1])
|
||||
break
|
||||
#rysujWykres(data, ileGeneracji, 1000, 2000)
|
||||
|
||||
|
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rysujWykres(data, ileGeneracji, 0, 2000)
|
||||
|
||||
|
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|
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def ruszWozek(gen,data, moves, wheel):
|
||||
def zbierzBox(gen,data, moves, kordStartowy):
|
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regalKordy = gen.kordy
|
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unbox = data.unbox[gen.ktoryUnbox]
|
||||
star = AStar()
|
||||
mapForAStar = data.astarMap[:]
|
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mapForAStar[regalKordy[0]][regalKordy[1]] = 0
|
||||
path = star.search([wheel.ns, wheel.we], regalKordy, mapForAStar, 1, 1)
|
||||
cns = wheel.ns
|
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cwe = wheel.we
|
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path = star.search([kordStartowy[0], kordStartowy[1]], regalKordy, mapForAStar, 1, 1)
|
||||
cns = kordStartowy[0]
|
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cwe = kordStartowy[1]
|
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value = path[cns][cwe]
|
||||
|
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while True:
|
||||
if cns > 0 and path[cns - 1][cwe] == (value + 1):
|
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cns = cns - 1
|
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@ -57,7 +60,7 @@ def ruszWozek(gen,data, moves, wheel):
|
||||
value = value + 1
|
||||
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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cwe = cwe + 1
|
||||
moves.append(4)
|
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value = value + 1
|
||||
continue
|
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@ -65,10 +68,21 @@ def ruszWozek(gen,data, moves, wheel):
|
||||
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)
|
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path = star.search([regalKordy[0], regalKordy[1]], gen.kordyUnboxa, mapForAStar, 1, 1)
|
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#mapForAStar[where[0]][where[1]] = 1
|
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value = path[cns][cwe]
|
||||
while True:
|
||||
if(value == 0):
|
||||
if(path[cns - 1][cwe] == 1):
|
||||
cns = cns - 1
|
||||
elif(path[cns + 1][cwe] == 1):
|
||||
cns = cns + 1
|
||||
elif(path[cns][cwe - 1] == 1):
|
||||
cwe = cwe - 1
|
||||
elif(path[cns][cwe + 1] == 1):
|
||||
cwe = cwe + 1
|
||||
value = path[cns][cwe]
|
||||
continue
|
||||
if cns > 0 and path[cns - 1][cwe] == (value + 1):
|
||||
cns = cns - 1
|
||||
moves.append(1)
|
||||
@ -140,3 +154,11 @@ def okno():
|
||||
good = False
|
||||
if(good == True):
|
||||
return [fieldValues[0], fieldValues[1], fieldValues[2],fieldValues[3]]
|
||||
|
||||
|
||||
def zwolnijPamiec(generacja, dwieNajlepsze):
|
||||
|
||||
for i in generacja:
|
||||
if( i != dwieNajlepsze[0] and i != dwieNajlepsze[1]):
|
||||
generacja.remove(i)
|
||||
return generacja
|
||||
|
||||
@ -10,14 +10,16 @@ import numpy
|
||||
|
||||
|
||||
def generateGeny(data):
|
||||
geny = []
|
||||
zajeteRegaly = data.zajeteRegaly[:]
|
||||
for r in zajeteRegaly:
|
||||
g = Gene(r)
|
||||
g = Gene()
|
||||
g.kordy = 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)
|
||||
|
||||
geny.append(g)
|
||||
return geny
|
||||
|
||||
def znajdzUnbox(data,mapa):
|
||||
unboxy = []
|
||||
@ -38,15 +40,15 @@ def policzCost(mapaBoxy, poczatek, koniec):
|
||||
return koszt
|
||||
|
||||
def genRandomChromosome(data):
|
||||
chromosome = data.geny[:]
|
||||
chromosome = generateGeny(data)
|
||||
random.shuffle(chromosome)
|
||||
krotkaKosztJakiUnbox = None
|
||||
unboxLastGen = None
|
||||
|
||||
for gen in chromosome:
|
||||
gen.ktoryUnbox = unboxLastGen
|
||||
gen.unboxWczesniejszegoGenu = unboxLastGen
|
||||
krotkaKosztJakiUnbox = wybierzUnbox(gen, data.jakLiczycKoszt)
|
||||
unboxLastGen = krotkaKosztJakiUnbox[1]
|
||||
gen.kordyUnboxa = data.unbox[krotkaKosztJakiUnbox[1]]
|
||||
return chromosome
|
||||
|
||||
def genRandomPopulation(data, ileWPopulacji):
|
||||
@ -80,7 +82,7 @@ def fitness(chromosome, data):
|
||||
|
||||
return koszt
|
||||
|
||||
def wybierzUnbox(gen, jakLiczycKoszt):
|
||||
def wybierzUnbox(gen, jakLiczycKoszt): #funkcja ustawiajaca jaki unbox
|
||||
if(jakLiczycKoszt == 0):
|
||||
x = random.choice([gen.unbox1, gen.unbox2])
|
||||
if(x == gen.unbox1):
|
||||
@ -136,6 +138,7 @@ def znajdzBox(mapa, regals):
|
||||
zajeteRegaly.append((x,y))
|
||||
return zajeteRegaly
|
||||
|
||||
#wybiera z populacji dwa najlepsze chromosomy
|
||||
def dwieNajlepsze(populacja, data):
|
||||
tmpPopulacja = populacja[:]
|
||||
chromFitness = []
|
||||
@ -164,37 +167,56 @@ def dwieNajlepsze(populacja, data):
|
||||
|
||||
return (pierwsza, druga)
|
||||
|
||||
def genPopulacje(pierwszy, drugi, ileWPopulacji, fragmentLiczba, wspMutacji):
|
||||
def genPopulacje(data,pierwszy, drugi, ileWPopulacji, fragmentLiczba, wspMutacji):
|
||||
ileWChrom = len(pierwszy)
|
||||
fragment = round(fragmentLiczba*ileWChrom)
|
||||
if(fragment == 1):
|
||||
fragment +=1
|
||||
nowaPopulacja = []
|
||||
|
||||
for i in range(ileWPopulacji):
|
||||
nowaPopulacja.append(crossover(pierwszy,drugi,fragment, wspMutacji))
|
||||
nowaPopulacja.append(crossover(data,pierwszy,drugi,fragment, wspMutacji))
|
||||
|
||||
return nowaPopulacja
|
||||
|
||||
def crossover(pierwszy, drugi, fragmentLiczba, wspMutacji):
|
||||
def crossover(data,pierwszy, drugi, fragmentLiczba, wspMutacji):
|
||||
ileWChrom = len(pierwszy)
|
||||
tmp = random.randint(0, ileWChrom-fragmentLiczba)
|
||||
kordyFragment = (tmp,tmp+fragmentLiczba)
|
||||
nowyChrom = [None] * ileWChrom
|
||||
nowyChrom = [Gene() for q in range(ileWChrom)]
|
||||
iterator = kordyFragment[1]
|
||||
pomIterator = kordyFragment[1]
|
||||
nowyChrom[kordyFragment[0]:kordyFragment[1]] = pierwszy[kordyFragment[0]:kordyFragment[1]]
|
||||
usedKordy = []
|
||||
for i in range(kordyFragment[0],kordyFragment[1]):
|
||||
nowyChrom[i].kordy = pierwszy[i].kordy
|
||||
nowyChrom[i].unbox1 = pierwszy[i].unbox1
|
||||
nowyChrom[i].unbox2 = pierwszy[i].unbox2
|
||||
usedKordy.append(pierwszy[i].kordy)
|
||||
|
||||
while(None in nowyChrom):
|
||||
for x in range(ileWChrom):
|
||||
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]
|
||||
if(nowyChrom[iterator].kordy == None and drugi[pomIterator].kordy not in usedKordy):
|
||||
nowyChrom[iterator].kordy = drugi[pomIterator].kordy
|
||||
nowyChrom[iterator].kordy = drugi[pomIterator].kordy
|
||||
nowyChrom[iterator].unbox1 = drugi[pomIterator].unbox1
|
||||
nowyChrom[iterator].unbox2 = drugi[pomIterator].unbox2
|
||||
iterator += 1
|
||||
pomIterator += 1
|
||||
elif(nowyChrom[iterator] == None and drugi[pomIterator] in nowyChrom):
|
||||
else:
|
||||
pomIterator +=1
|
||||
|
||||
nowyChrom = mutate(wspMutacji, nowyChrom)
|
||||
unboxLastGen = None
|
||||
|
||||
for gen in nowyChrom:
|
||||
gen.unboxWczesniejszegoGenu = unboxLastGen
|
||||
krotkaKosztJakiUnbox = wybierzUnbox(gen, data.jakLiczycKoszt)
|
||||
unboxLastGen = krotkaKosztJakiUnbox[1]
|
||||
gen.kordyUnboxa = data.unbox[krotkaKosztJakiUnbox[1]]
|
||||
|
||||
return nowyChrom
|
||||
|
||||
|
||||
@ -205,7 +227,7 @@ def updateMap(data, map, mapForAstar, regals):
|
||||
data.zajeteRegaly = znajdzBox(map, regals)
|
||||
data.astarMap = data.genMap(mapForAstar)
|
||||
|
||||
def mutate(wspMutacji, chrom):
|
||||
def mutate(wspMutacji, chrom): #w zaleznosci od tego jak wiele mutwac wybierz pary i zamien miejscami
|
||||
ileWChrom = len(chrom)
|
||||
ileZmian = round(ileWChrom * wspMutacji)
|
||||
for i in range(ileZmian):
|
||||
|
||||
@ -59,7 +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.mapForAStar[i][j] = 1
|
||||
|
||||
self.map = randomBox(self.map, self.regals, 5)
|
||||
self.map = randomBox(self.map, self.regals, 15)
|
||||
updateMap(self.data, self.map, self.mapForAStar, self.regals)
|
||||
generateGeny(self.data)
|
||||
|
||||
@ -94,7 +94,12 @@ class MainWindow:
|
||||
if event.key == pygame.K_g:
|
||||
start(self.data,self.wheel)
|
||||
for gen in self.data.best[0]:
|
||||
ruszWozek(gen,self.data, self.moves, self.wheel)
|
||||
if(gen.unboxWczesniejszegoGenu == None):
|
||||
kordStartowy = (self.wheel.ns, self.wheel.we)
|
||||
else:
|
||||
kordStartowy = self.data.unbox[gen.unboxWczesniejszegoGenu]
|
||||
|
||||
zbierzBox(gen,self.data, self.moves, kordStartowy)
|
||||
elif len(self.moves)==0:
|
||||
self.wheel.move(event, self.map)
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user