Carlos wrote: > Hello, > > I'm just about to finish my project, but something is causing me > trouble. I need to find out how to get some information out of the > genetic algorithm that Im using. This algorithm is generating some > coordinates for a collection of objects, until now I needed only the > final result of the process. But I discovered that the final information > is not enough, I need to get some intermediate data to actualize the > positions of the objects and then evaluate those positions. > > This is the area of the algorith that I think holds the info that I need: > > def evolve(self, generations = 100): > > self.halt_reached = 0 > > for gen in range(generations): > > #Changed. > print 'GEN:',gen, self.entities > > self.do_mutation() > self.do_crossover() > print "Average fitness generation " + str(gen) + ": " + > str(self.avg_fitness()) > if self.debug == 1: > self.echo_fitness() > if self.halt >= 0: > max_entity = self.get_max_fitness() > fit = self.calc_fitness(max_entity) > if fit >= halt: > self.halt_reached = 1 > return [max_entity] > > The line marked as #Changed is what I changed, with this I was able to > print the info, but I'm sorry to say that I have no clue at how to apply > something like return() that would give me this self.entities list. As > you can see there is a for loop and I need the info every time that it > gets updated by the loop. > > Hopefully I'm making myself clear and the info is enough. > Unfortunately, no. I for one can't interpret "I need the info every time that it gets updated by the loop".
-- Bob Gailer 510-978-4454 _______________________________________________ Tutor maillist - Tutor@python.org http://mail.python.org/mailman/listinfo/tutor
