Update geneticAlgorithm.py

geneticAlgorithm.py

@@ -55,7 +55,7 @@ def fitness_func(solution, solution_idx):
         modelName = ""
         for x in solution:
             modelName += f"{str(x)}_"
-        IMC.training_model(epochs=50, modelName=modelName, optimizer=usedOptimizers, lossFunction=usedLossFunction)
+        IMC.training_model(epochs=10, modelName=modelName, optimizer=usedOptimizers, lossFunction=usedLossFunction)
         IMC.evaluation(labelName=["0","1","2","3","4","5","6","7","8","9"])
         output = float(IMC.history.history["val_accuracy"][-1])
         # output = numpy.max(solution)
@@ -111,8 +111,4 @@ print(ga_instance.initial_population)
 print(ga_instance.run())
 solution, solution_fitness, solution_idx = ga_instance.best_solution()
 print("Parameters of the best solution : {solution}".format(solution=solution))
-print("Fitness value of the best solution = {solution_fitness}".format(solution_fitness=solution_fitness))
-
-# from whatsapp import FWA
-# fwa = FWA(APIkey="b2d95af932eedb4de92b3496f338aa5f97b36ae0", NoSender="6285157853522", host="http://wa.fianjulio.web.id:81")
-# print(fwa.sendTextMessage(phoneNumber="082136815488", message="Training selesai"))
+print("Fitness value of the best solution = {solution_fitness}".format(solution_fitness=solution_fitness))