s444409/DSZI_Survival
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Logging changes

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This commit is contained in:
Marcin Kostrzewski 2020-05-17 10:25:10 +02:00
parent b6312df9f3
commit 3108343513
1 changed files with 21 additions and 11 deletions
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32
src/AI/GA.py
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@ -34,10 +34,6 @@ def geneticAlgorithm(map, iter, solutions, mutationAmount=0.05, multithread=Fals
for i in range(solutions): for i in range(solutions):
maps.append(Map(map.filename, map.screen)) maps.append(Map(map.filename, map.screen))
# Initialize log file
with open("results.txt", "w+") as f:
f.write("GA Results from " + str(datetime.now()))
f.write("\n")
# Set the RNG seed for this GA # Set the RNG seed for this GA
# 5 is good for weak start # 5 is good for weak start
@ -66,14 +62,10 @@ def geneticAlgorithm(map, iter, solutions, mutationAmount=0.05, multithread=Fals
print("Best fitness: {}".format(max(fitness))) print("Best fitness: {}".format(max(fitness)))
offspring = mating(parents, solutions, mutationAmount) offspring = mating(parents, solutions, mutationAmount)
print("Best offspring: ", offspring[0]) print("Best offspring: ", offspring[0])
population = offspring
# Add info to logfile writeResults(i, max(fitness), offspring[0])
with open("results.txt", "a") as f:
f.write("Population: {}\n".format(i)) population = offspring
f.write("Best fitness: {}\n".format(max(fitness)))
f.write("Best offspring: " + str(offspring[0]))
f.write("\n\n")
def selectMatingPool(population, fitness, count): def selectMatingPool(population, fitness, count):
@ -218,3 +210,21 @@ def pickEntity(player, map):
# choice = random.choices(finalEntities, finalWeights)[0] # choice = random.choices(finalEntities, finalWeights)[0]
return choice return choice
def writeResults(iter, bestFit, bestMember):
if iter == 0:
# Initialize human-readable log file
with open("results.txt", "w+") as f:
f.write("GA Results from " + str(datetime.now()))
f.write("\n")
with open("results.txt", "a") as f:
f.write("Population: {}\n".format(iter))
f.write("Best fitness: {}\n".format(bestFit))
f.write("Best offspring: " + str(bestMember))
f.write("\n\n")
# Write raw arrays
with open("resultsRaw.txt", "w+") as f:
f.write(str(bestMember + [bestFit]))