def run(self):
""" Performs a random search """
import standard
def checkpoints():
result = True
for chk in self.checkpoints:
if chk(self) == False: result = False
return result
# Checks that self is complete and fills in where possible
if hasattr(self, "fill_attributes"): self = self.fill_attributes()
else: self = standard.fill_attributes(self)
assert hasattr(self, "Individual"), "No Individual type.\n"
assert hasattr(self, "taboo"), "No taboo operation.\n"
assert hasattr(self, "evaluation"), "No evaluation operation.\n"
assert hasattr(self, "checkpoints"), "No checkpoints attribute.\n"
while checkpoints():
indiv = self.Individual()
j = 0
loop = True
while loop:
indiv = self.Individual()
loop = self.taboo(indiv)
j += 1
assert j < max(50*self.popsize, 100), "Could not create offspring.\n"
indiv.birth = self.current_gen
self.population = [indiv]
self.evaluation()
self.current_gen += 1
def run(self):
""" Performs a Genetic Algorithm search """
import standard
# runs the checkpoints
def checkpoints():
result = True
for chk in self.checkpoints:
if chk(self) == False: result = False
return result
# Checks that self is complete and fills in where possible
if hasattr(self, "fill_attributes"): self.fill_attributes()
else: self = standard.fill_attributes(self)
assert hasattr(self, "Individual"), "No Individual type.\n"
assert hasattr(self, "taboo"), "No taboo operation.\n"
assert hasattr(self, "population"), "No population attribute.\n"
assert hasattr(self, "popsize"), "No popsize attribute.\n"
assert hasattr(self, "current_gen"), "No current_gen attribute.\n"
assert hasattr(self, "evaluation"), "No evaluation operation.\n"
assert hasattr(self, "rate"), "No rate attribute.\n"
assert hasattr(self, "mating"), "No mating functor.\n"
assert hasattr(self, "offspring"), "No offspring attribute.\n"
assert hasattr(self, "comparison"), "No comparison operation.\n"
# creates population if it does not exist.
if self.comm.is_root:
while len(self.population) < self.popsize:
j = 0
loop = True
while loop:
indiv = self.Individual()
loop = self.taboo(indiv)
j += 1
assert j < max(50*self.popsize, 100), "Could not create offspring.\n"
indiv.birth = self.current_gen
self.population.append(indiv)
self.population = self.comm.broadcast(self.population)
# evaluates population if need be.
self.evaluation()
# now makes sure evaluation did not create twins.
dummy, self.population = self.population, []
for indiv in dummy:
if any(indiv == u for u in self.population): continue
self.population.append(indiv)
# Number of offspring per generation.
nboffspring = max(int(float(self.popsize)*self.rate), 1)
# generational loop
while checkpoints():
if self.comm.do_print:
print "\nStarting generation ", self.current_gen
# tries and creates offspring.
if self.comm.rank == 0:
while len(self.offspring) < nboffspring:
j = 0
loop = True
while loop:
indiv = self.mating()
loop = self.taboo(indiv)
j += 1
assert j < max(10*self.popsize, 100), "Could not create offspring.\n"
indiv.birth = self.current_gen
self.offspring.append(indiv)
self.comm.broadcast(self.offspring)
else: self.offspring = self.comm.broadcast(self.offspring)
# now evaluates population.
self.evaluation()
# finally, sort and replace.
if self.comm.rank == 0:
# deal with differences in function sorted between python versions.
from platform import python_version_tuple
if python_version_tuple()[0] > 2:
from functools import cmp_to_key
self.population = sorted(self.population, key=cmp_to_key(self.comparison))
else:
self.population = sorted(self.population, cmp=self.comparison)
# Inserts individual one by one ensuring they do not yet exist in the
# population. This ensures that duplicates are not allowed.
for indiv in self.offspring:
if any(indiv == u for u in self.population): continue
self.population.insert(0, indiv)
# In case population smaller than expected, use conditional.
if len(self.population) > self.popsize: self.population.pop(-1)
self.population = self.comm.broadcast(self.population)
self.offspring = []
self.current_gen += 1
# final stuff before exiting.
if hasattr(self, "final"): self.final()
elif self.comm.do_print: print "done"
