def base_args():
args = GeneticArgs()
args.set_chr(10)
args.set_cr(0.3)
args.set_mr(0.5)
args.set_method_initial_population(genetic.INITIAL_POPULATION_RANDOM)
args.set_method_select(genetic.SELECTION_RANK)
args.set_method_cross(genetic.CROSSOVER_OX)
args.set_method_mutate(genetic.MUTATION_SA)
return args
def base_args(mr, cr):
args = GeneticArgs()
args.set_chr(20)
args.set_cr(cr)
args.set_mr(mr)
args.set_key("cr_{}".format(cr))
args.set_method_initial_population(genetic.INITIAL_POPULATION_RANDOM)
args.set_method_select(genetic.SELECTION_RANK)
args.set_method_cross(genetic.CROSSOVER_OX)
args.set_method_mutate(genetic.MUTATION_SA)
return args
def run_1():
prefix = '_48'
test_name = u"Atsitiktine ir generuota pradine populiacija"
runs = 10
g = g_48()
c = condition(100)
ants = [5, 11, 17, 22, 29, 35, 40]
args1 = base_args()
args1.set_chr(40)
args1.set_key('plain')
args2 = GeneticArgs(args1)
args2.set_method_initial_population(genetic.INITIAL_POPULATION_SEMIACS)
args2.set_initial_ants(ants[0])
args2.set_key('initial-pop-', args2.get_initial_ants)
_pre_run_inner(prefix, test_name, runs, g, c, args1, args2, ants)
def base_args(ipop):
args = GeneticArgs()
args.set_chr(60)
args.set_cr(0.3)
args.set_mr(0.3)
if ipop > 0:
args.set_method_initial_population(genetic.INITIAL_POPULATION_SEMIACS)
args.set_initial_ants(ipop)
args.set_key('ipop_', args.get_initial_ants)
else:
args.set_key('random')
args.set_method_initial_population(genetic.INITIAL_POPULATION_RANDOM)
args.set_method_select(genetic.SELECTION_RANK)
args.set_method_cross(genetic.CROSSOVER_OX)
args.set_method_mutate(genetic.MUTATION_SA)
return args