def get_generation(self, generation):
result = self.store.get_genomes(self.name, generation)
if result:
self.searched_generation = []
for i in result:
g = song(i[1], i[2], i[3], i[4], i[5], i[6], i[7], i[8])
self.searched_generation.append(g)
def get_generation(self, generation):
result = self.store.get_genomes(self.name, generation)
if result:
self.searched_generation = []
for i in result:
g = song(i[1], i[2], i[3], i[4], i[5], i[6], i[7], i[8])
self.searched_generation.append(g)
def get_current_generation(self):
result = self.store.get_genomes(self.name, self.generation_count)
if result:
self.current_generation = []
for i in result:
g = song(i[1], i[2], i[3], i[4], i[5], i[6], i[7], i[8])
self.current_generation.append(g)
return
def get_current_generation(self):
result = self.store.get_genomes(self.name, self.generation_count)
if result:
self.current_generation = []
for i in result:
g = song(i[1], i[2], i[3], i[4], i[5], i[6], i[7], i[8])
self.current_generation.append(g)
return
def initialize(self, console=None):
self.current_generation = []
for i in xrange(self.population_size):
g = song(operators.random_genome(), self.name, 0, i)
self.current_generation.append(g)
self.state = 'evaluate'
self.save_genomes()
self.save()
if console:
console('%s is initialized' % self.name)
return
def initialize(self, console = None):
self.current_generation = []
for i in xrange(self.population_size):
g = song(operators.random_genome(), self.name, 0, i)
self.current_generation.append(g)
self.state = 'evaluate'
self.save_genomes()
self.save()
if console:
console('%s is initialized'%self.name)
return
def reproduce(self, console=None):
self.generation_count += 1
console('%s : reproducing of generation %d started' %
(self.name, self.generation_count))
pool = []
index = 0
while self.current_generation:
l = len(self.current_generation) - 1
if not l:
break
a = operators.r(l)
parent_1 = self.current_generation[a]
del self.current_generation[a]
a = operators.r(l - 1)
parent_2 = self.current_generation[a]
del self.current_generation[a]
child_1_g, child_2_g = operators.random_crossover(
parent_1.note_list, parent_2.note_list)
operators.random_mutator(child_1_g)
operators.random_mutator(child_2_g)
parent_1.individual_id = index
parent_1.status = 'created'
parent_1.generation = self.generation_count
parent_1.grade = 0.0
index += 1
parent_2.individual_id = index
parent_2.status = 'created'
parent_2.generation = self.generation_count
parent_2.grade = 0.0
index += 1
child_1 = song(child_1_g, self.name, self.generation_count, index,
parent_1.name, parent_2.name)
index += 1
child_2 = song(child_2_g, self.name, self.generation_count, index,
parent_1.name, parent_2.name)
index += 1
t = parent_1.note_list
operators.random_mutator(t)
parent_1.set_genome(t)
t = parent_2.note_list
operators.random_mutator(t)
parent_2.set_genome(t)
pool += [parent_1, parent_2, child_1, child_2]
console('created %s and %s from %s and %s' %
(child_1.name, child_2.name, parent_1.name, parent_2.name))
self.current_generation = pool
self.save()
self.save_genomes()
self.state = 'evaluate'
console('%s : created generation %d' %
(self.name, self.generation_count))
def reproduce(self, console = None):
self.generation_count += 1
console('%s : reproducing of generation %d started'%(self.name, self.generation_count))
pool = []
index = 0
while self.current_generation:
l = len(self.current_generation) - 1
if not l:
break
a = operators.r(l)
parent_1 = self.current_generation[a]
del self.current_generation[a]
a = operators.r(l - 1)
parent_2 = self.current_generation[a]
del self.current_generation[a]
child_1_g, child_2_g = operators.random_crossover(parent_1.note_list,
parent_2.note_list)
operators.random_mutator(child_1_g)
operators.random_mutator(child_2_g)
parent_1.individual_id = index
parent_1.status = 'created'
parent_1.generation = self.generation_count
parent_1.grade = 0.0
index += 1
parent_2.individual_id = index
parent_2.status = 'created'
parent_2.generation = self.generation_count
parent_2.grade = 0.0
index += 1
child_1 = song(child_1_g,
self.name,
self.generation_count,
index,
parent_1.name,
parent_2.name)
index += 1
child_2 = song(child_2_g,
self.name,
self.generation_count,
index,
parent_1.name,
parent_2.name)
index += 1
t = parent_1.note_list
operators.random_mutator(t)
parent_1.set_genome(t)
t = parent_2.note_list
operators.random_mutator(t)
parent_2.set_genome(t)
pool += [parent_1, parent_2, child_1, child_2]
console('created %s and %s from %s and %s'%(child_1.name, child_2.name, parent_1.name, parent_2.name))
self.current_generation = pool
self.save()
self.save_genomes()
self.state = 'evaluate'
console('%s : created generation %d'%(self.name, self.generation_count))
