def fitness(self): if self.fit: return self.fit score = 0.0 for J in xrange(config.simulations_per_individual): players = [[lambda x: self.string[len(x)], 'Individual']] players += [random.choice(bs) for i in xrange(6)] x = [] record = [] points = [0 for i in xrange(7)] for I in xrange(20): what = [p[0](x) for p in players] x.append([sum([1 if j == 'A' else 0 for j in what]), sum([1 if j == 'B' else 0 for j in what])]) money = [700/x[-1][0] if j == 'A' else 300/x[-1][1] for j in what] points = [sum(a) for a in zip(points, money)] record.append(points) score += (float(record[-1][0])/float(max(record[-1])))**config.value_power self.fit = score return score def get_description(self): return " - (%s), fitness ~ %f\n"%(self.string, self.fitness()) if __name__ == '__main__': G = Generation(f20) cont = 0 while True: print "Generation #%d"%cont cont += 1 G = G.spawn_new_gen(Debug=True)
def make_plot(fittest):
ret = ""
for point in fittest.conjunto:
ret += str(point[0]) + " " + str(point[1]) + "\n"
return ret
def average(ls):
return sum(ls) / len(ls)
cont = 0
while True:
G = G.spawn_new_gen()
cont += 1
if cont % 40 == 1:
fittest = max([(ind.fitness(), ind) for ind in G.individuals])[1]
fitness = fittest.fitness()
data_output = open("data.out", "w")
graph_guide = open("graph.gnp", "w")
data_output.write(make_plot(fittest))
graph_guide.writelines(
[
"set terminal png size 800,600\n",
"set output './images/fittest%d.png'\n" % (cont / 40),
"set xrange [0:20]\n",
"set yrange [0:20]\n",
"set label 1 'Fitness = %f' at 1,1\n" % fitness,
"plot './data.out' using 1:2 title 'Generation %d' with points pt 7 lt 2 lw 2 \n" % (cont / 40),