Population = Global.Initialization();
时间: 2024-03-04 11:48:08 浏览: 20
I'm sorry, but without more information about the `Global.Initialization()` function, I cannot provide you with a specific implementation for generating a random population using this function.
However, in general, a common way to generate a random population is to use a loop to create each individual and randomly generate their attributes. Here is an example in Python:
```python
import random
population_size = 10
population = []
for i in range(population_size):
individual = {}
individual['attribute_1'] = random.uniform(0, 1) # Generate a random float between 0 and 1 for attribute 1
individual['attribute_2'] = random.randint(0, 100) # Generate a random integer between 0 and 100 for attribute 2
# Add more attributes as needed
population.append(individual)
```
In this example, we create a population of 10 individuals, where each individual is represented as a dictionary with two attributes, 'attribute_1' and 'attribute_2'. For 'attribute_1', we generate a random float between 0 and 1 using the `random.uniform()` function, and for 'attribute_2', we generate a random integer between 0 and 100 using the `random.randint()` function. You can modify the code to generate attributes that are relevant to your problem.
You can then pass this `population` list to the `Global.Initialization()` function to initialize your population. Again, the specific implementation may vary depending on the programming language and requirements of the function.
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