Updated fitness based termination and fixed some EasyGA stuff

src/run_testing.py

@@ -3,22 +3,23 @@ import EasyGA
 
 # Create the Genetic algorithm
 ga = EasyGA.GA()
-ga.target_fitness_type = 'min'
-ga.chromosome_length = 10
+
+# Create 25 chromosomes each with 10 genes
 ga.population_size = 25
-ga.generation_goal = 50
+ga.chromosome_length = 10
+
+# Create random genes from 0 to 10
 ga.gene_impl = lambda: random.randint(0, 10)
 
-def fitness_function(chromosome):
-    return sum(
-               gene.get_value()
-           for gene in chromosome.get_gene_list())
+# Minimize the sum of the genes
+ga.fitness_function_impl = lambda chromosome: sum(gene.get_value() for gene in chromosome.get_gene_list())
+ga.target_fitness_type = 'min'
 
-ga.fitness_function_impl = fitness_function
+# Terminate when a chromosome has all 0's
+ga.fitness_goal = 0
+ga.termination_impl = EasyGA.Termination_Methods.fitness_based
 
 ga.evolve()
-ga.set_all_fitness()
-ga.population.sort_by_best_fitness(ga)
 
 print(f"Current Generation: {ga.current_generation}")
 ga.population.print_all()