混沌优化算法代码是什么?
混沌优化算法代码是什么? 可以看看最新的群智能优化算法蜣螂优化算法,适合写论文 import numpy as npimport random
def chaotic_optimization(func, bounds, maxiter, popsize):
# 初始化随机种群
population = np.random.uniform(bounds, bounds, (popsize, len(bounds)))
# 记录当前最优解
best = None
for i in range(maxiter):
for j in range(popsize):
x = population
# 混沌变换
x = x + np.logistic(x) * np.sin(2 * np.pi * x)
x = np.clip(x, bounds, bounds)
# 评估新解
fx = func(x)
if best is None or fx < func(best):
best = x
# 更新种群
population = x
return best
# 示例代码,使用函数 sphere 作为目标函数
def sphere(x):
return np.sum(x**2)
bounds = [(-100, 100), (-100, 100)]
result = chaotic_optimization(sphere, bounds, maxiter=1000, popsize=50)
print(&#34;Best solution found: &#34;, result)
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