def combine(self, s1, s2):
sn = Solution()
sn.length_function = copy.deepcopy(s1.length_function) if random() > 0.5 else copy.deepcopy(s2.length_function)
sn.radiance_function = copy.deepcopy(s1.radiance_function) if random() > 0.5 else copy.deepcopy(s2.radiance_function)
sn.orientation_function = copy.deepcopy(s1.orientation_function) if random() > 0.5 else copy.deepcopy(s2.orientation_function)
sn.termination_function = copy.deepcopy(s1.termination_function) if random() > 0.5 else copy.deepcopy(s2.termination_function)
return sn
def new_solution(self):
def random_term():
return createTerm('Random', innerMultiplier=uniform(-2.0, 2.0), outerMultiplier=uniform(-3.0, 3.0))
s = Solution()
s.length_function = Expression(init_terms=[random_term()])
s.radiance_function = Expression(init_terms=[random_term()])
s.orientation_function = Expression(init_terms=[random_term()])
s.termination_function = Expression(init_terms=[random_term()])
return s
def __init__(self):
self.fittest = None
self.generation = 0
initial_solution = Solution()
initial_solution.length_function = Expression(init_terms=[createTerm('Constant', innerMultiplier=3.0, outerMultiplier=3.0)])
initial_solution.radiance_function = Expression(init_terms=[createTerm('Constant', innerMultiplier=1.0, outerMultiplier=1.5)])
initial_solution.orientation_function = Expression(init_terms=[createTerm('Constant', innerMultiplier=-0.1, outerMultiplier=0.1)])
initial_solution.termination_function = Expression(init_terms=[createTerm('Constant', innerMultiplier=3.0, outerMultiplier=3.0)])
self.solutions = [initial_solution]
workers = cfg.getint('FitnessTest', 'workers')
if workers > 1:
print "Evaluating using {workers} worker threads".format(workers=workers)
self.map = Pool(processes=workers).map_async
else:
self.map = map
self.max_fitness_acheived = 0
