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.
Thanks for your help in advance
Carlos
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