python粒子群优化算法函数

对于粒子群优化算法（Particle Swarm Optimization, PSO），可以使用Python来实现一个函数。下面是一个示例的Python代码：

import numpy as np

def pso(cost_func, num_particles, num_dimensions, max_iterations, bounds):
    # 初始化粒子群的位置和速度
    particles_pos = np.random.uniform(bounds < global_best_cost:
            global_best_cost = particles_cost = (inertia_weight * particles_vel[i +
                                cognitive_weight * r1 * (particles_best_pos[i - particles_pos[i]) +
                                social_weight * r2 * (global_best_pos - particles_pos[i]))
            
            # 防止速度超出范围
            particles_vel[i = np.clip(particles_vel[i], bounds += particles_vel[i]
        
        # 防止位置超出范围
        particles_pos = np.clip(particles_pos, bounds