def LTGE_initialisation(size):
"""Initialise a population in the LTGE representation."""
pop = []
for _ in range(size):
# Random genotype
g, ph = latent_tree_random_ind(params['BNF_GRAMMAR'],
params['MAX_TREE_DEPTH'])
# wrap up in an Individual and fix up various Individual attributes
ind = individual.Individual(g, None, False)
ind.phenotype = ph
# number of nodes is the number of decisions in the genome
ind.nodes = ind.used_codons = len(g)
# each key is the length of a path from root
ind.depth = max(len(k) for k in g)
# in LTGE there are no invalid individuals
ind.invalid = False
pop.append(ind)
return pop
def LTGE_initialisation(size):
"""Initialise a population in the LTGE representation."""
pop = []
for _ in range(size):
# Random genotype
g, ph = latent_tree_random_ind(params['BNF_GRAMMAR'],
params['MAX_TREE_DEPTH'])
# wrap up in an Individual and fix up various Individual attributes
ind = individual.Individual(g, None, False)
ind.phenotype = ph
# number of nodes is the number of decisions in the genome
ind.nodes = ind.used_codons = len(g)
# each key is the length of a path from root
ind.depth = max(len(k) for k in g)
# in LTGE there are no invalid individuals
ind.invalid = False
pop.append(ind)
return pop