寻优维度2的花授粉算法代码
时间: 2024-03-08 14:43:40 浏览: 24
寻优维度2的花授粉算法是一种用于模拟花朵授粉过程的算法,它可以用来解决优化问题。以下是一个简单的示例代码:
```python
import random
def flower_pollination_algorithm(dimensions, population_size, max_iterations):
# 初始化种群
population = []
for _ in range(population_size):
solution = [random.uniform(-5, 5) for _ in range(dimensions)]
population.append(solution)
# 迭代寻优
for iteration in range(max_iterations):
for i in range(population_size):
current_solution = population[i]
# 随机选择一个花朵进行授粉
pollinated_solution = random.choice(population)
# 更新当前解
for j in range(dimensions):
current_solution[j] += random.uniform(-1, 1) * (current_solution[j] - pollinated_solution[j])
# 评估适应度并选择新的种群
population = sorted(population, key=lambda x: fitness_function(x))
# 返回最优解
best_solution = population[0]
return best_solution
# 适应度函数示例
def fitness_function(solution):
x, y = solution[0], solution[1]
return -(x**2 + y**2)
# 示例调用
best_solution = flower_pollination_algorithm(dimensions=2, population_size=50, max_iterations=100)
print("最优解:", best_solution)
```
这段代码实现了一个简单的寻优维度为2的花授粉算法。其中,`dimensions`表示问题的维度,`population_size`表示种群大小,`max_iterations`表示最大迭代次数。算法通过随机选择花朵进行授粉,并根据适应度函数评估解的质量,最终返回最优解。
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