Flexible number of queens on field
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29
P2.py
29
P2.py
@@ -64,11 +64,12 @@ class Field:
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for row in range(8, 0, -1): # (0:8]
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row_string = ""
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for line in range(8):
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if row is self.state[line]: # is there a Queen in this line (spalte) in this row
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if line < len(self.state) and row is self.state[line]: # is there a Queen in this line (spalte) in this row
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if (row + line) % 2 == 0:
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row_string += "▌Q▐│"
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else:
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row_string += " Q │"
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elif (row + line) % 2 == 0:
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row_string += "███│"
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else:
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@@ -82,11 +83,11 @@ class Field:
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class Genetic:
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def __init__(self):
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def __init__(self, size=100):
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self.initial_population = []
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self.p_mutation = 0.1
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self.p_mutation = 0
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for i in range(100):
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for i in range(size):
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self.initial_population.append(Field())
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def random_selection(self, population):
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@@ -144,27 +145,33 @@ class Genetic:
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if child.get_fitness() > best_field.get_fitness():
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best_field = child
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if best_field.get_fitness() == 28:
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break
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current_population = new_population
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new_population = []
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if best_field.get_fitness() == 28:
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break
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return best_field
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def main():
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new_field = Field(
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init_state=[6, 3, 5, 7, 1, 4, 2, 8]) # [8, 4, 5, 4, 4, 3, 7, 6] [5, 5, 5, 5, 1, 2, 8, 5] [6,3,5,7,1,4,2,8]
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init_state=[1,2,3]) # [8, 4, 5, 4, 4, 3, 7, 6] [5, 5, 5, 5, 1, 2, 8, 5] [6,3,5,7,1,4,2,8]
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new_field.print_field()
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print(new_field.collisions())
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genetic = Genetic()
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best_genetic_field = genetic.genetic_algorithm(500)
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print("Genetic Algorithm")
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genetic = Genetic(500)
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best_genetic_field = genetic.genetic_algorithm(100)
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best_genetic_field.print_field()
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print(best_genetic_field.get_fitness())
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main()
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