def write_mesh(fronts, name):
counter = 0
for front in fronts:
for indiv in front:
mesh = Analyser(str(indiv.phenotype))
mesh.create_graph()
filename = FRONT_FOLDER + "/" + name + "." + str(counter)
mesh.create_mesh(filename)
counter += 1
def print_stats(generation, individuals):
global TIME
def ave(values):
return float(sum(values)) / len(values)
def std(values, ave):
return math.sqrt(
float(sum((value - ave)**2 for value in values)) / len(values))
newTime = time.time()
genTime = newTime - TIME
TIME = newTime
ave_beam = ave(
[i.beamTotal for i in individuals if i.phenotype is not None])
std_beam = std(
[i.beamTotal for i in individuals if i.phenotype is not None],
ave_beam)
ave_fit = ave(
[i.fitness[0] for i in individuals if i.phenotype is not None])
std_fit = std(
[i.fitness[0] for i in individuals if i.phenotype is not None],
ave_fit)
ave_used_codons = ave(
[i.used_codons for i in individuals if i.phenotype is not None])
std_used_codons = std(
[i.used_codons for i in individuals if i.phenotype is not None],
ave_used_codons)
print(
"Gen:%d best:%s beams:s:%d ave:%.1f+-%.1f Used:%.1f+-%.1f tt:%.2f beams:%d+-%.1f"
% (generation, individuals[0].fitness, individuals[0].beamTotal,
ave_fit, std_fit, ave_used_codons, std_used_codons, genTime,
ave_beam, std_beam))
if SAVE_BEST:
print "saving best individual"
bestMesh = Analyser(individuals[0].phenotype)
filename = 'xxx.' + str(generation)
bestMesh.create_mesh(filename)
