Próba integracji drzewa z alg. genetycznym
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13
agent.py
13
agent.py
@ -1,4 +1,3 @@
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from pandas.tests.io.json.test_ujson import numpy
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from warehouse import Coordinates, Tile, Pack
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from queue import PriorityQueue
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@ -198,8 +197,8 @@ class Agent:
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sys.exit()
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pack_id = self.route[0]
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self.route = self.route[1:]
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print("Next package ID:")
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print(pack_id)
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# print("Next package ID:")
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# print(pack_id)
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dst_package = None
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for pack in self.warehouse.packages:
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if pack.id + 1 == pack_id:
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@ -286,8 +285,8 @@ class Agent:
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self.graph_map[0][package1.id + 1] = len(self.path)
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def trace_route(self):
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for packs in self.warehouse.packages:
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print(packs.id)
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# for packs in self.warehouse.packages:
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# print(packs.id)
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self.route = genetic_trace_route(self.graph_map, len(self.warehouse.packages))
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print("best route")
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print(self.route)
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# print("best route")
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# print(self.route)
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@ -1,6 +1,5 @@
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import random
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import math
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### prawdopodobieństwo mutacji
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mutation_prob = 0.03
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### ilość osobników w pokoleniu, powinna być parzysta
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@ -8,7 +7,7 @@ generation_size = 40
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### liczba pokoleń
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number_of_generations = 30
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### jak bardzo promowane są osobniki wykorzystujące całą pojemność regału
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amount_of_promotion = 0
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amount_of_promotion = 5
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def first_gen(number_of_packages, number_of_racks):
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@ -24,11 +23,16 @@ def first_gen(number_of_packages, number_of_racks):
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def evaluation(individual, packages, racks, number_of_packages, number_of_racks, tree_predictor):
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# im większy fitness tym lepszy osobnik
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# print("regały: ",racks)
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rest_of_capacity = racks.copy()
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rest_of_capacity = [rack.capacity for rack in racks]
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# print("początkowa pojemność: ",rest_of_capacity)
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for i in range(number_of_packages):
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rest_of_capacity[individual[i]] -= packages[i]
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can_place = tree_predictor.check_if_can_place(packages[i], racks[i])
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if not can_place:
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rest_of_capacity[individual[i]] -= packages[i].size * 5
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else:
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rest_of_capacity[individual[i]] -= packages[i].size
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# print("pozostała pojemność: ",rest_of_capacity)
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# pdb.set_trace()
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fitness = 0
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for i in range(number_of_racks):
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# jak regał jest przepełniony, zmniejsza fitness osobnika
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@ -36,8 +40,9 @@ def evaluation(individual, packages, racks, number_of_packages, number_of_racks,
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fitness += rest_of_capacity[i]
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# delikane promowanie osobników wykorzystujących regały w pełni
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elif rest_of_capacity[i] == 0:
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fitness += amount_of_promotion
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### tu dodaj to co zrobi Andrzej
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fitness += 2
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else:
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fitness += 1
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return fitness
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def roulette(generation, packages, racks, number_of_packages, number_of_racks, tree_predictor):
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@ -90,8 +90,8 @@ def genetic_trace_route(graph_map, packages):
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population = copy.deepcopy(new_population)
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scores = score_all(graph_map, population)
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scores.sort(key=lambda x: x[1])
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print("Best route of all population in iteration " + str(i + 1))
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print(scores[0][1])
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# print("Best route of all population in iteration " + str(i + 1))
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# print(scores[0][1])
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scores = score_all(graph_map, population)
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scores.sort(key=lambda x: x[1])
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6
main.py
6
main.py
@ -20,7 +20,7 @@ TILE_HEIGHT = 32
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CIRCLE_CENTER_X, CIRCLE_CENTER_Y = int(TILE_WIDTH/2), int(TILE_HEIGHT/2)
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class MainGameFrame:
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def __init__(self, mutation_prob=0.03, generation_size=40, number_of_generations=30, amount_of_promotion=0):
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def __init__(self, mutation_prob=0.03, generation_size=40, number_of_generations=100, amount_of_promotion=0):
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pygame.font.init()
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self.display = pygame.display.set_mode(WINDOW_SIZE)
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pygame.display.set_caption("Smart ForkLift")
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@ -35,8 +35,8 @@ class MainGameFrame:
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packs_coords = [(pack.lays_on_field.x_position, pack.lays_on_field.y_position) for pack in self.warehouse_map.packages]
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list_of_racks = self.warehouse_map.get_all_racks(True)
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racks_coords = [(line.x_position, line.y_position) for line in list_of_racks]
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packs_sizes = [pack.size for pack in self.warehouse_map.packages]
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racks_capacities = [rack.capacity for rack in list_of_racks]
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packs_sizes = [pack for pack in self.warehouse_map.packages]
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racks_capacities = list_of_racks
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# print("koordynaty paczek: ",packs_coords)
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# print("koordynaty regałów: ",racks_coords)
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print("wagi paczek: ",packs_sizes)
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