def initialize(self):
"""
Randomly initialize the island populations
@return: The initialized islands
@rtype: list(list(Individual))
"""
self._logger.info('Initializing the islands')
islands = []
# TODO (JLD): Use _global_popsize where appropriate
self._global_popsize = self._islands * self._pop_size
# Randomly initialize each sub-population
for k in xrange(self._islands):
pop = []
for i in xrange(self._pop_size):
ind = Individual()
ind.id = i
x_set = [None]*self._ndim
for j in xrange(self._ndim):
x_set[j] = self._rnd.uniform(self._lower_bound[j], self._upper_bound[j])
ind.x = x_set
pop.append(ind)
islands.append(pop)
return islands
def parse_true_pareto_front(pareto_front_file):
"""
Parse the true pareto front
@param pareto_front_file: The true pareto front file to parse
@type pareto_front_file: str
@return: The true pareto front as a list of Individuals
@rtype: list(Individual)
"""
pareto_front = None
if pareto_front_file != '':
with open(pareto_front_file) as pf_file:
pareto_front_dict = json.load(pf_file)
pareto_front = []
for ind_dict in pareto_front_dict:
ind = Individual()
ind.from_dict(ind_dict)
pareto_front.append(ind)
return pareto_front
def initialize(self):
"""
Randomly initialize a population
@return: The initialize population
@rtype: list(Individual)
"""
self._logger.info('Initializing the population')
pop = []
# Randomly initialize the population
for i in xrange(self._pop_size):
ind = Individual()
ind.id = i
x_set = [None]*self._ndim
for j in xrange(self._ndim):
x_set[j] = self._rnd.uniform(self._lower_bound[j], self._upper_bound[j])
ind.x = x_set
pop.append(ind)
return pop
