生成一个IMOPSO模型的python代码

以下是一个简单的IMOPSO模型的Python代码示例：

import random

class Particle:
    def __init__(self, num_dimensions):
        self.position = [random.uniform(-5, 5) for _ in range(num_dimensions)]
        self.velocity = [random.uniform(-1, 1) for _ in range(num_dimensions)]
        self.best_position = self.position.copy()
        self.best_fitness = float('inf')

class IMOPSO:
    def __init__(self, num_particles, num_dimensions, num_iterations):
        self.num_particles = num_particles
        self.num_dimensions = num_dimensions
        self.num_iterations = num_iterations
        self.particles = [Particle(num_dimensions) for _ in range(num_particles)]
        self.global_best_position = [random.uniform(-5, 5) for _ in range(num_dimensions)]
        self.global_best_fitness = float('inf')

    def evaluate_fitness(self, particle):
        # TODO: Implement fitness evaluation function
        return random.uniform(0, 1)

    def update_particle(self, particle):
        # TODO: Implement particle update rule
        pass

    def run(self):
        for i in range(self.num_iterations):
            for particle in self.particles:
                fitness = self.evaluate_fitness(particle)
                if fitness < particle.best_fitness:
                    particle.best_fitness = fitness
                    particle.best_position = particle.position.copy()
                if fitness < self.global_best_fitness:
                    self.global_best_fitness = fitness
                    self.global_best_position = particle.position.copy()
            for particle in self.particles:
                self.update_particle(particle)

请注意，这只是一个简单的示例代码，需要根据具体的问题进行修改和扩展。