def generate_PI_ind_tree(max_depth):
"""
Generate an individual using a given Position Independent subtree
initialisation method.
:param max_depth: The maximum depth for the initialised subtree.
:return: A fully built individual.
"""
# Initialise an instance of the tree class
ind_tree = Tree(str(params['BNF_GRAMMAR'].start_rule["symbol"]), None)
# Generate a tree
genome, output, nodes, depth = pi_grow(ind_tree, max_depth)
# Get remaining individual information
phenotype, invalid, used_cod = "".join(output), False, len(genome)
if params['BNF_GRAMMAR'].python_mode:
# Grammar contains python code
phenotype = python_filter(phenotype)
# Initialise individual
ind = individual.Individual(genome, ind_tree, map_ind=False)
# Set individual parameters
ind.phenotype, ind.nodes = phenotype, nodes
ind.depth, ind.used_codons, ind.invalid = depth, used_cod, invalid
# Generate random tail for genome.
ind.genome = genome + [randint(0, params['CODON_SIZE']) for
_ in range(int(ind.used_codons / 2))]
return ind
def generate_PI_ind_tree(max_depth):
"""
Generate an individual using a given Position Independent subtree
initialisation method.
:param max_depth: The maximum depth for the initialised subtree.
:return: A fully built individual.
"""
# Initialise an instance of the tree class
ind_tree = Tree(str(params['BNF_GRAMMAR'].start_rule["symbol"]), None)
# Generate a tree
genome, output, nodes, depth = pi_grow(ind_tree, max_depth)
# Get remaining individual information
phenotype, invalid, used_cod = "".join(output), False, len(genome)
if params['BNF_GRAMMAR'].python_mode:
# Grammar contains python code
phenotype = python_filter(phenotype)
# Initialise individual
ind = individual.Individual(genome, ind_tree, map_ind=False)
# Set individual parameters
ind.phenotype, ind.nodes = phenotype, nodes
ind.depth, ind.used_codons, ind.invalid = depth, used_cod, invalid
# Generate random tail for genome.
ind.genome = genome + [randint(0, params['CODON_SIZE']) for
_ in range(int(ind.used_codons / 2))]
return ind
def generate_new_genome_and_phenotype():
writeLog('Creating new individual values')
depths = range(params['BNF_GRAMMAR'].min_ramp + 1,
params['MAX_INIT_TREE_DEPTH'] + 1)
size = params['POPULATION_SIZE']
if size < len(depths):
depths = depths[:int(size)]
max_depth = depths[int(len(depths) / 2)]
# Initialise an instance of the tree class
ind_tree = Tree(str(params['BNF_GRAMMAR'].start_rule["symbol"]), None)
# Generate a tree
genome, output, nodes, depth = pi_grow(ind_tree, max_depth)
# Get remaining individual information
phenotype, invalid, used_cod = "".join(output), False, len(genome)
return phenotype, nodes, genome, depth, used_cod, invalid
