Genetics Algorithms

src/agent.py

@@ -3,6 +3,7 @@ import pygame as pg
 import heapq
 from decisiontree import decision
 from trashtype import trash_type_def
+import genetics
 
 HOUSE_NUMBER = {'House_number': 0}
 
@@ -40,6 +41,7 @@ class HousePOI:
         self.trash = 1
         self.dump_fullness = 0
 
+
     def discover_bins(self, bin_fullness, trash_type, payment):
         from simulation import Interface
 
@@ -146,6 +148,7 @@ class Agent:
         self.fullness = None
         self.weights = {}
         self.orientation = 90
+        self.genetic_house_list = None
 
         # utworzenie grafu dróg
         roads_pos = [vector_to_tuple(pos) for pos in
@@ -299,7 +302,8 @@ class Agent:
     def a_star(self):
         fringe = []
         explored = set()
-        initial_state = (self.current_pos, tuple(self.houses))
+        self.genetic_house_list = genetics.genetic_algorithm(sorted(self.houses))
+        initial_state = (self.current_pos, tuple(self.genetic_house_list))
         goal_state = (self.current_pos, ())
         start_node = Node(initial_state, None, 0)
 

src/genetics.py

@@ -0,0 +1,95 @@
+import random
+
+# Parametry algorytmu genetycznego
+POPULATION_SIZE = 100
+MUTATION_RATE = 0.01
+NUM_GENERATIONS = 100
+
+
+
+# Generowanie początkowej populacji
+def generate_individual(houses):
+    return random.sample(houses, len(houses))
+
+def generate_population(houses, size):
+    return [generate_individual(houses) for _ in range(size)]
+
+# Obliczanie odległości między domkami
+def calculate_distance(house1, house2):
+    x1, y1 = house1
+    x2, y2 = house2
+    return abs(x1 - x2) + abs(y1 - y2)
+
+def calculate_total_distance(houses):
+    total_distance = 0
+    for i in range(len(houses) - 1):
+        total_distance += calculate_distance(houses[i], houses[i+1])
+    total_distance += calculate_distance(houses[-1], houses[0])  # Zamknięcie cyklu
+    return total_distance
+
+# Selekcja rodziców za pomocą turniejowej metody
+def select_parents(population, num_parents):
+    parents = []
+    for _ in range(num_parents):
+        tournament = random.sample(population, 5)
+        winner = min(tournament, key=calculate_total_distance)
+        parents.append(winner)
+    return parents
+
+# Krzyżowanie rodziców
+def crossover(parent1, parent2):
+    child1 = [None] * len(parent1)
+    child2 = [None] * len(parent1)
+    start_index = random.randint(0, len(parent1) - 1)
+    end_index = random.randint(start_index, len(parent1) - 1)
+    child1[start_index:end_index+1] = parent1[start_index:end_index+1]
+    child2[start_index:end_index+1] = parent2[start_index:end_index+1]
+
+    # Uzupełnienie brakujących domków z drugiego rodzica
+    for i in range(len(parent1)):
+        if parent2[i] not in child1:
+            for j in range(len(parent2)):
+                if child1[j] is None:
+                    child1[j] = parent2[i]
+                    break
+
+    for i in range(len(parent1)):
+        if parent1[i] not in child2:
+            for j in range(len(parent1)):
+                if child2[j] is None:
+                    child2[j] = parent1[i]
+                    break
+
+    return child1, child2
+
+# Mutacja: zamiana dwóch losowych domków
+def mutate(individual):
+    index1, index2 = random.sample(range(len(individual)), 2)
+    individual[index1], individual[index2] = individual[index2], individual[index1]
+
+# Algorytm genetyczny
+def genetic_algorithm(houses):
+    population = generate_population(houses, POPULATION_SIZE)
+
+    for _ in range(NUM_GENERATIONS):
+        # Obliczanie wartości przystosowania (odległości) dla każdego osobnika
+        fitness_scores = [calculate_total_distance(individual) for individual in population]
+
+        # Wybór rodziców do reprodukcji
+        parents = select_parents(population, 2)
+
+        # Tworzenie nowej populacji za pomocą krzyżowania i mutacji
+        new_population = []
+        for i in range(POPULATION_SIZE // 2):
+            child1, child2 = crossover(parents[0], parents[1])
+            mutate(child1)
+            mutate(child2)
+            new_population.extend([child1, child2])
+
+        population = new_population
+
+    # Znalezienie najlepszego osobnika
+    best_individual = min(population, key=calculate_total_distance)
+
+    return best_individual
+

src/tree_data.csv

@@ -0,0 +1,201 @@
+dump_fullness,truck_fullness,trash,payment,bin_fullness,trash_types,season,day,decision
+0,0,0,1,0,glass,winter,wednesday,0
+1,1,1,0,1,mixed,spring,monday,0
+0,1,1,1,0,plastic,winter,monday,0
+1,0,1,1,0,glass,spring,monday,0
+1,1,1,0,0,paper,spring,wednesday,0
+0,1,0,1,1,plastic,spring,monday,0
+1,1,1,1,1,mixed,autumn,friday,0
+0,0,1,0,1,glass,autumn,friday,0
+1,0,0,1,1,glass,spring,monday,0
+0,0,0,0,0,paper,spring,friday,0
+1,1,0,1,0,paper,summer,friday,0
+1,1,1,0,0,mixed,spring,wednesday,0
+1,0,1,1,0,mixed,autumn,monday,0
+0,0,1,0,1,mixed,summer,wednesday,0
+1,0,1,0,0,glass,spring,monday,0
+1,1,1,0,0,paper,autumn,friday,0
+0,0,1,0,1,paper,summer,friday,0
+1,0,0,1,1,glass,autumn,wednesday,0
+1,1,1,1,0,glass,winter,wednesday,0
+0,0,0,0,0,plastic,summer,monday,0
+0,0,1,1,1,mixed,autumn,friday,0
+1,0,1,0,0,mixed,summer,friday,0
+1,0,0,1,0,paper,winter,friday,0
+1,1,1,0,1,paper,winter,wednesday,0
+0,0,1,1,1,glass,summer,wednesday,0
+1,0,0,0,0,glass,summer,friday,0
+0,0,0,1,0,glass,summer,wednesday,0
+1,0,1,1,0,paper,spring,friday,0
+1,1,1,1,1,paper,autumn,monday,0
+1,0,0,1,0,glass,winter,wednesday,0
+1,0,1,0,1,paper,spring,wednesday,0
+0,1,0,1,0,mixed,winter,wednesday,0
+1,1,1,1,1,paper,winter,friday,0
+1,0,1,0,0,glass,autumn,wednesday,0
+0,1,0,0,1,plastic,autumn,monday,0
+0,0,1,1,1,glass,winter,friday,1
+0,1,0,1,1,paper,spring,monday,0
+1,0,0,0,1,plastic,spring,monday,0
+0,0,1,1,1,mixed,autumn,monday,1
+0,1,1,0,1,glass,spring,monday,0
+0,0,1,1,0,paper,autumn,wednesday,0
+0,0,0,1,1,plastic,spring,friday,0
+1,0,1,1,0,plastic,summer,monday,0
+1,1,1,1,1,plastic,winter,friday,0
+0,0,0,1,1,mixed,autumn,friday,0
+1,0,1,0,0,paper,spring,wednesday,0
+0,0,0,1,1,glass,spring,monday,0
+0,1,1,0,0,plastic,summer,wednesday,0
+1,0,1,0,0,glass,summer,friday,0
+0,1,0,0,0,glass,winter,wednesday,0
+0,0,0,1,0,paper,summer,monday,0
+1,1,0,0,1,plastic,summer,friday,0
+1,0,0,0,0,plastic,spring,monday,0
+1,0,1,1,0,plastic,autumn,friday,0
+1,1,1,1,0,mixed,autumn,wednesday,0
+0,0,0,0,1,paper,autumn,monday,0
+0,0,1,1,0,glass,winter,friday,0
+0,1,0,1,0,glass,summer,wednesday,0
+1,1,0,0,0,plastic,summer,monday,0
+0,1,0,1,0,paper,spring,monday,0
+0,0,1,1,1,mixed,winter,wednesday,1
+0,0,1,0,0,plastic,spring,monday,0
+1,1,0,0,1,mixed,winter,monday,0
+0,0,1,1,1,mixed,summer,wednesday,1
+0,1,0,0,1,paper,winter,friday,0
+0,0,1,1,1,plastic,winter,monday,0
+1,0,1,0,0,glass,winter,monday,0
+0,0,1,0,0,mixed,summer,monday,0
+1,1,1,0,1,mixed,spring,friday,0
+1,0,1,1,1,mixed,spring,monday,0
+1,1,0,1,1,glass,autumn,friday,0
+0,1,0,0,1,plastic,spring,monday,0
+0,1,1,0,1,plastic,spring,monday,0
+0,0,1,1,1,plastic,autumn,monday,1
+1,0,0,1,0,glass,spring,wednesday,0
+1,1,1,0,0,plastic,autumn,monday,0
+0,1,0,1,1,plastic,spring,friday,0
+0,1,0,1,1,glass,autumn,wednesday,0
+1,0,0,0,1,mixed,winter,friday,0
+1,0,1,1,0,plastic,spring,monday,0
+0,0,1,0,1,plastic,summer,friday,0
+1,1,0,0,0,glass,spring,wednesday,0
+0,1,1,1,1,mixed,winter,wednesday,0
+1,1,0,1,0,mixed,winter,friday,0
+0,0,1,1,1,paper,spring,friday,1
+0,1,1,0,1,mixed,spring,friday,0
+1,1,1,0,0,glass,winter,monday,0
+1,1,1,0,1,glass,spring,monday,0
+1,0,0,1,1,plastic,spring,monday,0
+0,0,1,1,1,paper,autumn,friday,1
+0,0,0,0,1,paper,autumn,wednesday,0
+1,1,1,0,1,plastic,summer,monday,0
+0,1,1,1,1,paper,spring,monday,0
+0,1,1,1,1,plastic,spring,monday,0
+0,1,1,0,1,glass,autumn,wednesday,0
+0,0,1,1,1,paper,summer,friday,1
+1,1,1,1,1,mixed,winter,wednesday,0
+0,1,1,0,0,mixed,spring,friday,0
+1,1,0,0,0,paper,autumn,friday,0
+1,1,0,1,1,paper,winter,friday,0
+1,1,1,1,0,mixed,winter,monday,0
+1,1,0,0,0,plastic,summer,wednesday,0
+0,0,0,0,0,mixed,winter,wednesday,0
+1,1,1,1,0,paper,spring,monday,0
+1,1,1,0,0,plastic,winter,wednesday,0
+0,0,0,1,1,paper,summer,friday,0
+0,1,0,0,0,glass,autumn,friday,0
+0,1,0,0,0,plastic,spring,monday,0
+1,1,0,1,0,paper,spring,monday,0
+0,1,0,0,1,plastic,spring,wednesday,0
+0,1,0,1,0,mixed,spring,monday,0
+1,0,1,1,1,paper,summer,friday,0
+0,1,1,1,0,mixed,winter,friday,0
+0,0,1,0,0,plastic,autumn,friday,0
+1,1,0,1,0,paper,spring,friday,0
+1,0,1,0,1,mixed,winter,wednesday,0
+0,0,0,0,0,glass,autumn,monday,0
+1,0,1,1,1,mixed,autumn,friday,0
+1,1,0,1,1,paper,spring,monday,0
+1,1,1,0,0,glass,winter,wednesday,0
+0,0,1,1,1,glass,autumn,wednesday,1
+0,0,0,1,1,glass,spring,friday,0
+1,0,1,0,1,paper,winter,monday,0
+0,0,1,1,1,paper,winter,monday,1
+0,1,1,0,0,glass,summer,wednesday,0
+0,0,1,1,0,glass,spring,wednesday,0
+0,0,1,1,0,paper,spring,wednesday,0
+1,0,0,0,0,paper,summer,wednesday,0
+1,1,0,0,1,glass,autumn,monday,0
+1,1,0,0,1,paper,spring,monday,0
+0,0,0,1,1,plastic,spring,monday,0
+0,1,1,0,1,plastic,autumn,monday,0
+0,0,0,1,0,plastic,spring,wednesday,0
+0,1,1,1,0,glass,autumn,monday,0
+1,0,0,0,1,glass,summer,monday,0
+1,0,0,0,0,paper,winter,wednesday,0
+0,0,1,1,1,glass,summer,monday,1
+1,1,0,1,0,glass,summer,monday,0
+0,1,1,1,1,glass,winter,monday,0
+0,0,0,1,1,glass,winter,wednesday,0
+0,0,1,0,1,mixed,winter,friday,0
+0,1,0,1,1,paper,winter,monday,0
+0,0,1,1,1,mixed,spring,friday,1
+0,0,1,1,0,glass,winter,monday,0
+1,0,0,0,1,paper,summer,monday,0
+1,0,0,0,1,plastic,summer,wednesday,0
+0,1,1,1,1,plastic,winter,friday,0
+0,0,1,0,0,paper,autumn,friday,0
+0,0,1,1,1,plastic,summer,wednesday,1
+1,0,1,0,1,paper,winter,wednesday,0
+0,0,0,0,0,plastic,spring,wednesday,0
+1,0,1,0,0,glass,winter,wednesday,0
+1,0,1,1,1,plastic,summer,wednesday,0
+0,1,1,0,1,paper,summer,wednesday,0
+0,1,0,1,0,paper,winter,wednesday,0
+0,0,1,1,1,plastic,spring,monday,1
+0,1,1,1,0,paper,winter,wednesday,0
+0,1,1,1,0,glass,autumn,friday,0
+1,1,1,0,0,plastic,spring,monday,0
+0,0,1,0,1,mixed,spring,wednesday,0
+0,1,1,0,0,glass,summer,friday,0
+1,1,0,1,0,plastic,winter,monday,0
+0,0,0,1,0,paper,winter,wednesday,0
+1,0,1,0,1,plastic,summer,friday,0
+1,0,0,0,1,mixed,autumn,friday,0
+0,0,0,1,1,plastic,winter,friday,0
+1,0,0,0,0,plastic,winter,monday,0
+1,0,0,1,0,plastic,winter,friday,0
+1,0,0,0,1,glass,spring,monday,0
+0,0,0,1,1,plastic,autumn,friday,0
+0,1,0,1,1,glass,spring,friday,0
+0,0,0,1,1,mixed,spring,wednesday,0
+1,1,1,1,0,paper,autumn,wednesday,0
+0,0,1,1,1,mixed,winter,friday,0
+0,1,0,0,1,paper,summer,monday,0
+0,0,1,1,1,paper,summer,wednesday,0
+1,0,1,0,1,paper,autumn,wednesday,0
+0,1,1,1,1,mixed,spring,friday,0
+0,0,0,1,1,glass,winter,friday,0
+0,1,0,0,0,glass,winter,monday,0
+0,0,1,0,1,glass,autumn,wednesday,0
+0,0,0,1,0,plastic,summer,friday,0
+1,1,1,1,0,mixed,spring,wednesday,0
+1,0,1,0,1,plastic,autumn,friday,0
+0,1,1,0,1,mixed,autumn,monday,0
+0,1,0,1,1,plastic,winter,wednesday,0
+0,1,1,0,1,mixed,winter,friday,0
+1,0,0,0,1,plastic,summer,friday,0
+1,0,1,0,1,mixed,spring,friday,0
+1,1,1,1,0,paper,summer,monday,0
+1,0,1,0,1,paper,winter,friday,0
+0,1,1,0,1,paper,summer,friday,0
+0,0,1,1,1,plastic,winter,wednesday,1
+0,0,1,1,1,mixed,spring,monday,0
+0,1,1,0,1,paper,winter,wednesday,0
+1,1,1,1,0,plastic,spring,friday,0
+1,0,1,1,0,paper,summer,friday,0
+1,1,0,0,1,glass,autumn,friday,0
+0,0,1,1,1,glass,spring,wednesday,1
+1,1,0,1,1,paper,summer,friday,0

src/tree_in_txt.txt

@@ -0,0 +1,52 @@
+|--- dump_fullness <= 0.50
+|   |--- truck_fullness <= 0.50
+|   |   |--- trash <= 0.50
+|   |   |   |--- class: 0
+|   |   |--- trash >  0.50
+|   |   |   |--- payment <= 0.50
+|   |   |   |   |--- class: 0
+|   |   |   |--- payment >  0.50
+|   |   |   |   |--- bin_fullness <= 0.50
+|   |   |   |   |   |--- class: 0
+|   |   |   |   |--- bin_fullness >  0.50
+|   |   |   |   |   |--- trash_types_mixed <= 0.50
+|   |   |   |   |   |   |--- season_summer <= 0.50
+|   |   |   |   |   |   |   |--- trash_types_plastic <= 0.50
+|   |   |   |   |   |   |   |   |--- class: 1
+|   |   |   |   |   |   |   |--- trash_types_plastic >  0.50
+|   |   |   |   |   |   |   |   |--- season_winter <= 0.50
+|   |   |   |   |   |   |   |   |   |--- class: 1
+|   |   |   |   |   |   |   |   |--- season_winter >  0.50
+|   |   |   |   |   |   |   |   |   |--- day_wednesday <= 0.50
+|   |   |   |   |   |   |   |   |   |   |--- class: 0
+|   |   |   |   |   |   |   |   |   |--- day_wednesday >  0.50
+|   |   |   |   |   |   |   |   |   |   |--- class: 1
+|   |   |   |   |   |   |--- season_summer >  0.50
+|   |   |   |   |   |   |   |--- day_wednesday <= 0.50
+|   |   |   |   |   |   |   |   |--- class: 1
+|   |   |   |   |   |   |   |--- day_wednesday >  0.50
+|   |   |   |   |   |   |   |   |--- trash_types_plastic <= 0.50
+|   |   |   |   |   |   |   |   |   |--- class: 0
+|   |   |   |   |   |   |   |   |--- trash_types_plastic >  0.50
+|   |   |   |   |   |   |   |   |   |--- class: 1
+|   |   |   |   |   |--- trash_types_mixed >  0.50
+|   |   |   |   |   |   |--- day_wednesday <= 0.50
+|   |   |   |   |   |   |   |--- season_winter <= 0.50
+|   |   |   |   |   |   |   |   |--- day_monday <= 0.50
+|   |   |   |   |   |   |   |   |   |--- season_spring <= 0.50
+|   |   |   |   |   |   |   |   |   |   |--- class: 0
+|   |   |   |   |   |   |   |   |   |--- season_spring >  0.50
+|   |   |   |   |   |   |   |   |   |   |--- class: 1
+|   |   |   |   |   |   |   |   |--- day_monday >  0.50
+|   |   |   |   |   |   |   |   |   |--- season_spring <= 0.50
+|   |   |   |   |   |   |   |   |   |   |--- class: 1
+|   |   |   |   |   |   |   |   |   |--- season_spring >  0.50
+|   |   |   |   |   |   |   |   |   |   |--- class: 0
+|   |   |   |   |   |   |   |--- season_winter >  0.50
+|   |   |   |   |   |   |   |   |--- class: 0
+|   |   |   |   |   |   |--- day_wednesday >  0.50
+|   |   |   |   |   |   |   |--- class: 1
+|   |--- truck_fullness >  0.50
+|   |   |--- class: 0
+|--- dump_fullness >  0.50
+|   |--- class: 0