chore: change testing code

analysis/main.py

@@ -79,6 +79,7 @@ def plot_succ_gens(cases, fitness_threshold):
                 break
 
     print("Success : " + str(len(succ_gens)))
+    print("Mean : " + str(sum(succ_gens) / len(succ_gens)))
     sns.histplot(succ_gens, kde=True)
 
 
@@ -94,24 +95,33 @@ def plot_size(cases, fitness_threshold):
     sns.countplot(x=sizes)
 
 
-case1 = split_cases("./analysis/output.txt")
-fitness_threshold = 3.95
-cases = [(case1, "")]
+case1 = split_cases("./analysis/output-yes.txt")
+case2 = split_cases("./analysis/output-no.txt")
+fitness_threshold = 3.9
 
-for case, _ in cases:
+cases = [
+    (case1, "With destructive mutation"),
+    (case2, "Without destructive mutation"),
+]
+
+for case, label in cases:
     plot_fitness_max(case)
+
+    plt.title(label)
     plt.show()
 
 
 for case, label in cases:
     plot_succ_gens(case, fitness_threshold)
 
+    plt.title(label)
     plt.xlabel("Generation")
     plt.show()
 
 
 for case, label in cases:
     plot_size(case, fitness_threshold)
 
+    plt.title(label)
     plt.xlabel("Size")
     plt.show()

params/xor.toml

@@ -9,10 +9,10 @@ output_activation = 'Sigmoid'
 weight_perturbation = 0.8
 weight_assign = 0.1
 add_connection = 0.5
-remove_connection = 0.5
+remove_connection = 0.0
 toggle_connection = 0.0
 add_node = 0.2
-remove_node = 0.2
+remove_node = 0.0
 
 weight_min = -10.0
 weight_max = 10.0
@@ -29,4 +29,4 @@ elitism = 5
 survival_rate = 0.1
 
 [reproduction]
-crossover_rate = 0.3
+crossover_rate = 0.3