croissance (peut etre)

algogenetique.py

@@ -16,30 +16,24 @@ def main(N,tmax,pmutation, proportion,brin="plasmid_8k.fasta"):
 	brin = ''.join(lineList[1:])'''
     L=[]
     People=Population(N)
-    # afficher(People)
     for i in range(tmax):
-        print("\n \n NOUVELLE GENERATION \n \n")
+        print(i)
         max=0
         best=None
-        for individu in People.indiv:
-            individu.evaluate("AAAGGATCTTCTTGAGATCCTTTTTTTCTGCGCGTAATCTGCTGCCAGTAAACGAAAAAACCGCCTGGGGAGGCGGTTTAGTCGAA")
         People.reproduction(p = proportion, proba_mutation= pmutation)
-        # for individu in People.indiv:
-        #     individu.mutation(pmutation)
         for individu in People.indiv:
-            individu.evaluate("AAAGGATCTTCTTGAGATCCTTTTTTTCTGCGCGTAATCTGCTGCCAGTAAACGAAAAAACCGCCTGGGGAGGCGGTTTAGTCGAA")
             if individu.score>max:
                 best=individu
                 max=individu.score
-        afficher(People)
+
         L.append(max)
-        #print(L)
+
     plt.plot([i for i in range(tmax)], L)
     plt.show()
     return(best)
 
 
-main(10,50,0,5)
+main(100,100,0.1,50)
 
 
 

individu.py

@@ -12,7 +12,7 @@ class Individu():
 
     def __init__(self, table):
         self.table = table
-        self.score = None
+        self.score = self.evaluate("AAAGGATCTTCTTGAGATCCTTTTTTTCTGCGCGTAATCTGCTGCCAGTAAACGAAAAAACCGCCTGGGGAGGCGGTTTAGTCGAA")
     
     def evaluate(self, brin):
         traj = Traj3D()
@@ -31,9 +31,11 @@ class Individu():
         # print(rot_traj)
         # print(rot_computed)
         #diff_angle = sum(abs(rot_computed - rot_traj))
-
+        
         self.score = 1/distance
 
+        return 1/distance
+
 
     def mutation(self, proba = P1):
         table_rotations = self.table.rot_table

population.py

@@ -47,7 +47,6 @@ class Population:
             if meilleur.score < individu.score:
                 meilleur = individu
         newself = [meilleur]
-        print("\n \n \nmeilleur", meilleur.table.rot_table, "\n \nscore", meilleur.score)
         vu=set()                        
         t=randrange(0,self.n)
         m=randrange(0,self.n)             
@@ -134,7 +133,7 @@ class Population:
             p = (self.n)//2
         vieille_taille = self.n
         selection(p)
-        newself = list(self.indiv)
+        newself = [element for element in self.indiv]       
         while len(newself)<vieille_taille:
             m=randrange(0,self.n)
             t=randrange(0,self.n)
@@ -143,10 +142,12 @@ class Population:
             couple_enfant = enfant(x,y)
             for child in couple_enfant :
                 child.mutation(proba_mutation)
+                child.evaluate("AAAGGATCTTCTTGAGATCCTTTTTTTCTGCGCGTAATCTGCTGCCAGTAAACGAAAAAACCGCCTGGGGAGGCGGTTTAGTCGAA")
             newself.append(couple_enfant[0])
             newself.append(couple_enfant[1])
         self = self.modifier_population(newself)
 
+
 def afficher(popu):
     for individu in popu.indiv :
         print("\n individu \n")
@@ -165,8 +166,6 @@ def test():
 
 #test()
 
-
-