Initialization for GA with arguments

2020-10-30 11:52:11 -04:00
parent 2d91037cdf
commit c9d30be1af
3 changed files with 142 additions and 54 deletions
--- a/src/EasyGA.py
+++ b/src/EasyGA.py
@ -22,8 +22,66 @@ from attributes import attributes
 class GA(attributes):

    # Inhert all the ga attributes from the attributes class.
-    def __init__(self):             
-       super(GA, self).__init__()
+    def __init__(self,
+            chromosome_length = None,
+            population_size = None,
+            chromosome_impl = None,
+            gene_impl = None,
+            population = None,
+            target_fitness_type = None,
+            update_fitness = None,
+            parent_ratio = None,
+            selection_probability = None,
+            tournament_size_ratio = None,
+            current_generation = None,
+            current_fitness = None,
+            generation_goal = None,
+            fitness_goal = None,
+            chromosome_mutation_rate = None,
+            gene_mutation_rate = None,
+            initialization_impl = None,
+            fitness_function_impl = None,
+            make_population = None,
+            make_chromosome = None,
+            make_gene = None,
+            parent_selection_impl = None,
+            crossover_individual_impl = None,
+            crossover_population_impl = None,
+            survivor_selection_impl = None,
+            mutation_individual_impl = None,
+            mutation_population_impl = None,
+            termination_impl = None
+            ):             
+        super(GA, self).__init__(
+            chromosome_length,
+            population_size,
+            chromosome_impl,
+            gene_impl,
+            population,
+            target_fitness_type,
+            update_fitness,
+            parent_ratio,
+            selection_probability,
+            tournament_size_ratio,
+            current_generation,
+            current_fitness,
+            generation_goal,
+            fitness_goal,
+            chromosome_mutation_rate,
+            gene_mutation_rate,
+            initialization_impl,
+            fitness_function_impl,
+            make_population,
+            make_chromosome,
+            make_gene,
+            parent_selection_impl,
+            crossover_individual_impl,
+            crossover_population_impl,
+            survivor_selection_impl,
+            mutation_individual_impl,
+            mutation_population_impl,
+            termination_impl
+        )


    def evolve_generation(self, number_of_generations = 1, consider_termination = True):