def environment_selection(self, args):
v_list = []
indi_list = []
for indi in self.pops.individuals:
indi_list.append(indi)
v_list.append(indi.acc)
for indi in self.parent_pops.individuals:
indi_list.append(indi)
v_list.append(indi.acc)
#add log
# find the largest one's index
max_index = np.argmax(v_list)
selection = Selection()
selected_index_list = selection.RouletteSelection(v_list, k=args.pop_size)
if max_index not in selected_index_list:
first_selectd_v_list = [v_list[i] for i in selected_index_list]
min_idx = np.argmin(first_selectd_v_list)
selected_index_list[min_idx] = max_index
next_individuals = [indi_list[i] for i in selected_index_list]
next_gen_pops = Population(args, self.pops.gen_no+1)
next_gen_pops.create_from_offspring(next_individuals)
self.pops = next_gen_pops
def environment_selection(self):
v_list = []
indi_list = []
# 将此时的种群acc和父种群acc记录在一起
for indi in self.pops.individuals:
indi_list.append(indi)
v_list.append(indi.acc)
for indi in self.parent_pops.individuals:
indi_list.append(indi)
v_list.append(indi.acc)
_str = []
for _, indi in enumerate(self.pops.individuals):
_t_str = 'Indi-%s-%.5f-%s' % (indi.id, indi.acc, indi.uuid()[0])
_str.append(_t_str)
for _, indi in enumerate(self.parent_pops.individuals):
_t_str = 'Pare-%s-%.5f-%s' % (indi.id, indi.acc, indi.uuid()[0])
_str.append(_t_str)
# add log
# find the largest one's index
# 选出max个体并筛选下一代
max_index = np.argmax(v_list)
selection = Selection()
# 采用轮盘赌选择算法
selected_index_list = selection.RouletteSelection(
v_list, k=self.params['pop_size'])
if max_index not in selected_index_list:
# 若max个体不在筛选结果中，那么从筛选结果中替换掉其中的min个体
first_selectd_v_list = [v_list[i] for i in selected_index_list]
min_idx = np.argmin(first_selectd_v_list)
selected_index_list[min_idx] = max_index
next_individuals = [indi_list[i] for i in selected_index_list]
"""Here, the population information should be updated, such as the gene no and then to the individual id"""
# 更新种群基本信息
next_gen_pops = Population(self.pops.params, self.pops.gen_no + 1)
next_gen_pops.create_from_offspring(next_individuals)
self.pops = next_gen_pops
for _, indi in enumerate(self.pops.individuals):
_t_str = 'new -%s-%.5f-%s' % (indi.id, indi.acc, indi.uuid()[0])
_str.append(_t_str)
_file = './populations/ENVI_%2d.txt' % (self.pops.gen_no)
Utils.write_to_file('\n'.join(_str), _file)
Utils.save_population_at_begin(str(self.pops), self.pops.gen_no)