def run(self):
temp = self.start
temp.comp_fitness();
temp.comp_num_fails();
#temp.comp_num_rects();
prev_fitness = -1
#prev_num_fails = -1
for i in range(self.num_iters):
temp.randomize_rows()
print "iteration %d fitness: %s" % (i, temp.fitness_stat_str())
print temp
best = temp.copy()
for steps in iterboth(temp, depth=self.depth):
if not (steps[0][1] % 10): print "\r%s" % (steps),
num_steps = len(steps)
work = temp.copy()
step_num = 0
for step in steps:
step_num += 1
(c,x,y) = step
work.set_and_comp_fitness(x,y,c)
#if work.num_fails < best.num_fails or ((work.num_fails == best.num_fails) and (work.fitness < best.fitness)):
if work.fitness < best.fitness:
best = work.copy()
break
print "\n",
temp = best
temp.comp_num_fails()
#if (temp.num_fails) == 0 or ((temp.num_fails == prev_num_fails) and (temp.fitness == prev_fitness)):
if (temp.num_fails == 0) or (temp.fitness == prev_fitness):
self.solution = temp
self.num_iters_taken = i
return best
prev_fitness = temp.fitness
#prev_num_fails = temp.num_fails
self.num_iters_taken = self.num_iters
self.solution = temp
return temp
def run(self):
temp = self.start
temp.comp_num_fails();
prev_num_fails = -1
for i in range(self.num_iters):
print "iteration %d fails: %s" % (i, temp.fail_stat_str())
print temp
best = temp.copy()
for steps in iterboth(temp, depth=self.depth):
if not (steps[0][1] % 10): print "\r%s" % (steps),
num_steps = len(steps)
work = temp.copy()
step_num = 0
for step in steps:
step_num += 1
(c,x,y) = step
work.set_and_comp_fails(x,y,c)
if work.num_fails < best.num_fails:
best = work.copy()
break
print "\n",
temp = best
if temp.num_fails == 0 or temp.num_fails == prev_num_fails:
self.solution = temp
self.num_iters_taken = i
return best
prev_num_fails = temp.num_fails
self.num_iters_taken = self.num_iters
self.solution = temp
return temp
