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Selector.py
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from math import *
from Error import error
from random import seed
from random import randint
import random
import numpy as np
import datetime
import myModule
import pylab
from Map import Map
#note : changer le deuxieme for car complexite de n², on peut transformer en n
def crossOverPath5(nbrElementTab1,tabPath1, tabPath2):
newTabPathCO=[]
for i in range(nbrElementTab1):
newTabPathCO.append(tabPath1[i])
for i in range(np.size(tabPath2)):
if tabPath2[i] not in newTabPathCO:
newTabPathCO.append(tabPath2[i])
return newTabPathCO
def crossOverPath3(nbr,path1, path2):
child = []
seen = []
temp = [-1]*len(path1)
miss = []
l = len(path1)
for i in range(0,l,2):
if i < l:
child.append(path1[i])
if i+1 < l:
child.append(path2[i+1])
#find already seen value
for i in range(len(temp)):
if temp[child[i]] == -1:
temp[child[i]] = i
else:
seen.append(i)
for i in range(len(temp)):
if temp[path2[i]] == -1:
miss.append(path2[i])
for i in range(len(seen)):
child[seen[i]] = miss[i]
return child
#note : sous forme n et non n^2
def singlePoint(nbr,path1, path2):
#child from the cross_over
child=path2.copy()
#tab of already present values (but only their coordinates)
seen=[]
temp = [-1]*len(path1)
#tab of missing value in the order of path2
miss = []
#copy piece of path1 in path2
for i in range(nbr):
child[i] = path1[i]
#find already seen value
for i in range(len(temp)):
if temp[child[i]] == -1:
temp[child[i]] = i
else:
seen.append(i)
for i in range(len(temp)):
if temp[path2[i]] == -1:
miss.append(path2[i])
for i in range(len(seen)):
child[seen[i]] = miss[i]
return child
#cross over hasardeux
def crossOverPath2(path1, path2):
#child from the cross_over
child=path2.copy()
#tab of already present values (but only their coordinates)
seen=[]
temp = [-1]*len(path1)
#tab of missing value in the order of path2
miss = []
p1 = randint(0,len(path1))
p2 = randint(0,len(path1))
if (p1 > p2):
tmp = p1
p1 = p2
p2 = tmp
#copy piece of path1 in path2
for i in range(p1,p2):
child[i] = path1[i]
#find already seen value
for i in range(len(temp)):
if temp[child[i]] == -1:
temp[child[i]] = i
else:
seen.append(i)
for i in range(len(temp)):
if temp[path2[i]] == -1:
miss.append(path2[i])
for i in range(len(seen)):
child[seen[i]] = miss[i]
return child
def matriceUnion(mat1,mat2):
#print("matrice union")
#print("------------mat1")
#print(mat1)
#print("------------mat2")
#print(mat2)
final_mat = list(set(mat1) | set(mat2))
return final_mat
#crossover ERO
def matriceConversion(path1,path2):
mat1 = [-1]*len(path1)
mat2 = [-1]*len(path2)
#mat3 = [-1]*len(path3)
matFinal = []
for i in range(len(path1)):
if i== (len(path1))-1:
mat1[path1[i]] = [path1[len(path1)-2],path1[0]]
mat2[path2[i]] = [path2[len(path2)-2],path2[0]]
#mat3[path3[i]] = [path3[len(path3)-2],path3[0]]
else :
mat1[path1[i]] = [path1[i-1],path1[i+1]]
mat2[path2[i]] = [path2[i-1],path2[i+1]]
#mat3[path3[i]] = [path3[i-1],path3[i+1]]
for i in range(len(path1)):
matFinal.append(matriceUnion(mat1[i], mat2[i]))
return matFinal
#complexite n² voir si on peut faire mieux
def crossOverERO(parent1, parent2):
k = []
N = parent1[0]
matrice = matriceConversion(parent1, parent2)
#print(matrice)
smallest = [1,2]
while(len(k) < len(parent1)):
#print(k)
k.append(N)
for i in matrice:
if N in i:
i.remove(N)
if len(matrice[N]) != 0:
#print("-----")
#print(N)
#print(matrice[N])
#print(len(matrice[N]))
smallest = [matrice[N][0],len(matrice)]
for i in matrice[N]:
if ((len(matrice[i]) < smallest[1]) and (len(matrice[i]) != 0)):
smallest[0] = i
smallest[1] = len(matrice[i])
else:
#print("-----else")
#print(N)
#print(matrice[N])
#print(len(matrice[N]))
m = len(parent1)
for i in range(len(matrice)):
if ((i not in k)):
#print("condition remplie")
smallest[0] = i #random.choice([x for x in range(m) if x not in k])
smallest[1] = len(matrice[i])
i = len(matrice) + 1
N = smallest[0]
return k
#force brute
def crossOverLoopBRUT(nbrPath, tab):
crossedTabs = []
iteration = 0
for i in range(nbrPath - len(tab)):
for j in range(i,len(tab)):
if(iteration + len(tab) < nbrPath):
iteration += 1
crossedTabs.append(
crossOverPath2(tab[i],tab[j]))
else:
if crossedTabs:
return crossedTabs
else:
error("Le cross_over ne s'est fait pas fait")
return crossedTabs
#force brute
def crossOverLoopClassique(nbrPath, tab, Map):
crossedTabs = []
iteration = 0
nbr = floor(0.5*len(tab[0]))
for i in range(nbrPath - len(tab)):
for j in range(i,len(tab)):
if(iteration + len(tab) < nbrPath):
iteration += 1
crossedTabs.append(
singlePoint(nbr,tab[i],tab[j]))
else:
if crossedTabs:
return crossedTabs
else:
error("Le cross_over ne s'est fait pas fait")
return crossedTabs
def combinaisonPointSingulier(nbrPath, tab,Map,p):
crossedTabs = []
iteration = 0
size = floor(len(tab[0])/2)
for i in range(nbrPath - len(tab)):
parent1 = tab[randint(0, len(tab)-1)]
parent2 =tab[randint(0, len(tab)-1)]
child = singlePoint(size,parent1, parent2)
for j in range(len(child)):
l = random.random()*100
#print("---")
#print(P)
#print(l)
if ( l < 5):
#print("mutation")
pos = randint(0,len(child)-1)
swapPositions(child, j, pos)
crossedTabs.append(child)
return crossedTabs
def RandomCrossMapping(nbrPath, tab,Map,p):
crossedTabs = []
iteration = 0
for i in range(nbrPath - len(tab)):
parent1 = tab[randint(0, len(tab)-1)]
parent2 =tab[randint(0, len(tab)-1)]
child1 = crossOverPath2(parent1, parent2)
child2 = crossOverPath2(parent2, parent1)
child = []
if Map.pathLength(child1) < Map.pathLength(child2):
child = child1
else:
child = child2
for j in range(len(child)):
l = random.random()*100
#print("---")
#print(P)
#print(l)
if ( l < p):
#print("mutation")
pos = randint(0,len(child)-1)
swapPositions(child, j, pos)
crossedTabs.append(child)
return crossedTabs
#par pair au hasard
def EdgeRecombination(nbrPath, tab,Map,p):
crossedTabs = []
iteration = 0
for i in range(nbrPath - len(tab)):
parent1 = tab[randint(0, len(tab)-1)]
parent2 =tab[randint(0, len(tab)-1)]
child = crossOverERO(parent1, parent2)
for j in range(len(child)):
l = random.random()*100
#print("---")
#print(P)
#print(l)
if (l < 2):
#print("mutation")
pos = randint(0,len(child)-1)
swapPositions(child, j, pos)
crossedTabs.append(child)
return crossedTabs
#par random
def crossOverLoopRAND(nbrPath, tab):
crossedTabs = []
iteration = 0
for i in range(len(tab)):
if(randint(0,len(tab)) > i +3):
for j in range(i,len(tab)):
if(iteration + len(tab) < nbrPath):
iteration += 1
crossedTabs.append(
crossOverPath2(tab[i],tab[j]))
else:
if crossedTabs:
return crossedTabs
else:
error("Le cross_over ne s'est fait pas fait")
return crossedTabs
#mega mutation
def mutation(population,P, Map):
mutant = []
for i in population:
for j in range(len(i)):
l = random.random()*100
if (100*P >= l):
#print("mutation")
pos = randint(0,len(i)-1)
swapPositions(i, j, pos)
mutant.append(i);
return mutant
def mutationDynamique(Map,tabBestPath):
average = 0
minimum = Map.pathLength(tabBestPath[0])
for i in tabBestPath:
average += Map.pathLength(i)
average = average/len(tabBestPath)
p = (1 - ((average - minimum)/minimum))**2
return p*10
def mutationStatique(Map,tabBestPath):
return 0
def mutationReferentiel(population,P, Map):
mutant = []
best = Map.pathLength(population[0])
prob = 0
for i in population[1:]:
prob = best/Map.pathLength(i)
#print(prob)
for j in range(len(i)):
l = random.random()*100
if (100*prob >= l):
#print("mutation")
pos = randint(0,len(i)-1)
swapPositions(i, j, pos)
mutant.append(i);
return mutant
#mega mutation
def mutationClassique(population,P, Map):
mutant = []
for i in population:
for j in range(len(i)):
l = random.random()*100
#print("---")
#print(P)
#print(l)
if (0.01 >= l):
#print("mutation")
pos = randint(0,len(i)-1)
swapPositions(i, j, pos)
mutant.append(i);
return mutant
#mutation d'un chemin
def mutationPath(tabPath):
element1 = randint(0 , len(tabPath)-1)
element2 = randint(0 , len(tabPath)-1)
swapPositions(tabPath, element1, element2)
return tabPath
def mutationLoop(tab):
for i in range(len(tab)):
if randint(0,10) > 1:
tab[i] = mutationPath(tab[i])
return tab
# Swap function
def swapPositions(tab, pos1, pos2):
tab[pos1], tab[pos2] = tab[pos2], tab[pos1]
#selection
def FUSS4(paths,nbr,props):
final = []
chunk = floor(len(paths)/10)
s = nbr/len(paths)
#prop = ceil(s*chunk)*2 #le x2 ici vient du fait qu'on prend que la moitie de tous les chunks
prop = ceil(0.5*chunk)
for i in range(5):
for j in range(prop):
final.append(paths[(chunk*i)+j][0])
#l = random.sample(range(chunk*i, chunk*i + chunk),prop) #sans double essayer avec prob = 1/2
#for i in l:
#final.append(paths[i][0])
#print("proportion")
#print(prop)
#print("taille")
#print(len(final))
return final
from bisect import bisect_left
#selection
def FUSSPonderer(paths,nbr,props):
final = []
chunks = len(paths)/10
for i in range(nbr):
index = random.choice(props)
start = int(index*chunks)
end = int((index+1)*chunks)
l = []
if index + 1 < 10:
l = paths[start:end]
else:
l = paths[start:len(paths)-1]
element = random.choice(l)
final.append(element[0])
return final
#ESSAYER LE FUSS CLASSIQUE SANS MUTATION
def FUSS(paths,nbr,props):
final = []
chunks = len(paths)/10
for i in range(nbr):
final.append(random.choice(paths)[0])
return final
def hardSelector(paths,nbr,props):
chosens = 0
tab = []
for i in range(len(paths)):
if (chosens < nbr):
if(randint(0,len(paths)) > i):
chosens += 1
tab.append(paths[i][0])
return tab
def selectionBrute(paths,nbr,props):
tab = []
for i in range(nbr):
tab.append(paths[i][0])
return tab
def selectionPathGENITOR(nbrPath, Map, bestElementsSize):
cityTab = Map.cities
tabPath =[]
tabBestPath =[]
print("NOUVELLE SELECTION")
import time
start = time.process_time()
props = []
for i in range(40):
props.append(0)
for i in range(20):
props.append(1)
for i in range(10):
props.append(2)
for i in range(8):
props.append(3)
for i in range(7):
props.append(4)
for i in range(5):
props.append(5)
for i in range(4):
props.append(6)
for i in range(3):
props.append(7)
for i in range(2):
props.append(8)
for i in range(1):
props.append(9)
for m in range(10):
tabPath.append([])
for i in range(floor(nbrPath/10)):
cityTab = Map.randomPath()
tabPath[m].append([cityTab,Map.pathLength(cityTab)])
generation = 0
bestScore = float('inf')
iteration = 0
path = []
arrayProb = []
tabPath.sort(key=lambda x:x[1])
tabBestPath = [-1]*10
print("nbrPath : 10")
print(nbrPath/10)
print("bestElementsSize:10")
print(bestElementsSize/10)
while (iteration < 200):
generation += 1
for m in range(10):
tabBestPath[m] = []
tabBestPath[m] = FUSSPonderer(tabPath[m],floor(bestElementsSize/10),props)
genCrossed = EdgeRecombination(floor(nbrPath/10), tabBestPath[m],Map)
newSet = tabBestPath[m]
genMutated = mutation(newSet,0,Map)
tabBestPath[m] = genMutated + genCrossed
tabPath[m] = []
for i in tabBestPath[m]:
tabPath[m].append([i,Map.pathLength(i)])
tabPath[m].sort(key=lambda x:x[1])
#print("taille de la pop numero : ", m)
#print(len(tabPath[m]))
currBest = []
currBestScore = float('inf')
for m in range(10):
if tabPath[m][0][1] < currBestScore:
currBestScore = tabPath[m][0][1]
currBest = tabPath[m][0][0].copy()
#verifier le meilleur de chaque sous pop(!) (!) (!)
if currBestScore < bestScore:
iteration = 0
bestScore = currBestScore
path = currBest.copy()
else:
iteration +=1
if (generation % 200 == 0):
element = []
for p in range(floor(bestElementsSize/10)):
element.append(randint(0,floor((nbrPath/10)-1)))
for p in range(10):
subpop = randint(0,9)
for q in element:
mem = tabPath[p][q]
tabPath[p][q] = tabPath[subpop][q]
tabPath[subpop][q]= mem
for p in range(10):
tabPath[m].sort(key=lambda x:x[1])
print("RESULTAT FINAL")
print(path)
print(bestScore)
print("TEMPS")
print(time.process_time() - start)
print("Nombre de Generation : ")
print(generation)
return path
def selectionPath(nbrPath, Map, bestElementsSize):
cityTab = Map.cities
tabPath =[]
tabBestPath =[]
print("NOUVELLE SELECTION")
#import time
#start = time.process_time()
first_time = datetime.datetime.now()
props = []
for i in range(40):
props.append(0)
for i in range(20):
props.append(1)
for i in range(10):
props.append(2)
for i in range(8):
props.append(3)
for i in range(7):
props.append(4)
for i in range(5):
props.append(5)
for i in range(4):
props.append(6)
for i in range(3):
props.append(7)
for i in range(2):
props.append(8)
for i in range(1):
props.append(9)
for i in range(nbrPath):
cityTab = Map.randomPath()
tabPath.append([cityTab,Map.pathLength(cityTab)])
m = 0
for j in tabPath:
m += j[1]
m = m/len(tabPath)
print("moyenne de : " + str(m))
generation = 0
bestScore = float('inf')
iteration = 0
path = []
"""
arrayProb = []
tabPath.sort(key=lambda x:x[1])
while (iteration < 200):
generation += 1
tabBestPath = []
#RAPPEL faire la mutation APRES le crossover et la descendanse (!) (!)
average = 0
minimum = Map.pathLength(tabPath[0][0])
for i in tabPath:
average += Map.pathLength(i[0])
average = average/len(tabPath)
p = (1 - ((average - minimum)/minimum))**2
#best = tabPath[0][0]
tabBestPath = selectionBrute(tabPath,bestElementsSize,props)
#p = 0
genCrossed = RandomCrossMapping(nbrPath, tabBestPath,Map,p*10)
#print(len(genCrossed))
newSet = tabBestPath
genMutated = mutation(newSet,-1,Map)
tabBestPath = genMutated + genCrossed
#tabBestPath.append(best)
tabPath = []
for i in tabBestPath:
tabPath.append([i,Map.pathLength(i)])
tabPath.sort(key=lambda x:x[1])
if tabPath[0][1] < bestScore:
iteration = 0
bestScore = tabPath[0][1]
path = tabPath[0][0].copy()
else:
iteration +=1
arrayProb.append(p*100)
print("Taille population final")
print(len(tabPath))
#print("population")
#for i in tabPath:
#print(i)
tabPath.sort(key=lambda x:x[1])
print("RESULTAT FINAL")
print(path)
print(bestScore)
print("TEMPS")
#print(time.process_time() - start)
print("Nombre de Generation : ")
print(generation)
make_graph(generation, arrayProb,0, "lala")
pylab.show()
return path
"""
print("nbrePath:")
print(nbrPath)
print("RESULTAT FINAL")
resultat = myModule.genalgo(Map.cities, nbrPath)
print(resultat)
print(Map.pathLength(resultat))
print("TEMPS")
#print(time.process_time() - start)
later_time = datetime.datetime.now()
difference = later_time - first_time
seconds_in_day = 24 * 60 * 60
print(difference.seconds)
return resultat
#--------------------------------------------------------- POUR FAIRE DES GRAPHES
def make_graph(nbrGen,y,c,name):
x = []
for i in range(nbrGen):
x.append(i)
linestyles = ['-', '--', '-.', ':']
pylab.plot(x, y,linestyle = linestyles[c],label = name)