def setUp(self):
self.ges = GrammaticalEvolution()
self.ges.set_genotype_length(10)
self.ges.set_population_size(5)
self.ges.set_max_program_length(200)
self.ges.set_bnf(''.join([
'<S> ::=', 'a = <VALUE1>\n', 'b = <VALUE2>\n',
'fitness = a + b\n',
'self.set_bnf_variable("<fitness>", fitness)\n',
'<VALUE1> ::= -1 | 2 | 0 \n', '<VALUE2> ::= 1 | 2 | 3 \n'
]))
self.ges.create_genotypes()
self.ges.set_fitness_type(MAX)
# build a fake history
value = .5
for generation in range(3):
# Pretend that the genotypes have run
count = 0
for gene in self.ges.population:
gene._fitness = float(count) + value
self.ges.fitness_list[count][0] = float(count) + value
self.ges.fitness_list[count][0] = float(count) + value
count += 1
self.ges._history.append(deepcopy(self.ges.fitness_list))
def test_class_init__(self):
"""
This function tests the initialization of the class.
"""
ges = GrammaticalEvolution()
self.assertEqual(None, ges.stopping_criteria[STOPPING_MAX_GEN])
self.assertEqual(None,
ges.stopping_criteria[STOPPING_FITNESS_LANDSCAPE])
self.assertEqual(DEFAULT_CROSSOVER_RATE, ges._crossover_rate)
self.assertEqual(DEFAULT_CHILDEREN_PER_CROSSOVER,
ges._children_per_crossover)
self.assertEqual(DEFAULT_MUTATION_TYPE, ges._mutation_type)
self.assertEqual(DEFAULT_MUTATION_RATE, ges._mutation_rate)
self.assertEqual(DEFAULT_MAX_FITNESS_RATE, ges._max_fitness_rate)
# Parameters for phenotype creation
self.assertEqual(DEFAULT_WRAP, ges._wrap)
self.assertEqual(DEFAULT_EXTEND_GENOTYPE, ges._extend_genotype)
self.assertEqual(DEFAULT_START_GENE_LENGTH, ges._start_gene_length)
self.assertEqual(DEFAULT_MAX_PROGRAM_LENGTH, ges._max_gene_length)
self.assertEqual(DEFAULT_MAX_PROGRAM_LENGTH, ges._max_program_length)
# Parameters for overall process
self.assertEqual(0, ges._generation)
self.assertEqual(FitnessList(CENTER), ges.fitness_list)
self.assertEqual(DEFAULT_FITNESS_FAIL, ges._fitness_fail)
self.assertEqual(DEFAULT_MAINTAIN_HISTORY, ges._maintain_history)
self.assertEqual(DEFAULT_TIMEOUTS, ges._timeouts)
# Parameters used during runtime
self.assertEqual(None, ges.current_g)
self.assertEqual([], ges._fitness_selections)
self.assertEqual([], ges._replacement_selections)
self.assertEqual({}, ges.bnf)
self.assertEqual(0, ges._population_size)
self.assertEqual([], ges.population)
self.assertEqual([], ges._history)
<plus> ::= +
<minus> ::= -
<real> ::= <int-const>.<int-const>
<int-const> ::= <int-const> | 1 | 2 | 3 | 4 | 5 | 6 |
7 | 8 | 9 | 0
<S> ::=
import math
total = 0.0
for i in xrange(100):
value = float(i) / float(100)
total += abs(<expr> - pow(value, 3))
fitness = total
self.set_bnf_variable('<fitness>', fitness)
"""
ges = GrammaticalEvolution()
ges.set_bnf(bnf)
ges.set_genotype_length(start_gene_length=20, max_gene_length=50)
ges.set_population_size(50)
ges.set_wrap(True)
ges.set_max_generations(1000)
ges.set_fitness_type(MIN, .01)
ges.set_max_program_length(500)
ges.set_timeouts(10, 120)
ges.set_fitness_fail(100.0)
ges.set_mutation_rate(.025)
ges.set_fitness_selections(
