28 lines
759 B
Python
28 lines
759 B
Python
import math
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import random
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from model.base_model import Model
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import numpy as np
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class MyRandomModel(Model):
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def __init__(self):
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super().__init__()
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def init(self, nodes):
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"""
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Put your initialization here.
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"""
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super().init(nodes)
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def fit(self, max_it=1000):
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"""
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Put your iteration process here.
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"""
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random_solutions = []
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for i in range(0, max_it):
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solution = np.random.permutation(self.N).tolist()
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random_solutions.append(solution)
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self.fitness_list.append(self.fitness(solution))
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self.best_solution = random_solutions[self.fitness_list.index(min(self.fitness_list))]
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return self.best_solution, self.fitness_list
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