Exploring the cultural media under the Internet of Things is not only an inevitable need to understand the cultural landscape of the Internet of Things era, but also an extension of the people themselves in the new medium. Understanding the Internet of Things as a new paradigm of media organization and production, it should clarify the technology and body in the Internet of Things, so it can clarify the objective for a relationship with the media. The Internet of Things solves the virtual interdimensional problem of information dissemination and social interaction, opening up a new vision of cultural communication. However, the Internet of Things technology makes the ideological and cultural communication channels more diverse and more complex. How to improve the efficiency of cultural media is the hotspot of current research. Therefore, this article takes cultural media as the research object and adopts the Internet of Things technology to construct the IoT culture media efficiency optimization model of the global numerical ant colony algorithm. Firstly, the population space and belief space of the cultural algorithm are redesigned by using the new bi-level evolutionary mechanism. Then, the maximum and minimum ant colony system is used to construct the population space, and the current optimal solution is improved by the 3-opt cross-transform operation in the belief space. Finally, the simulation experiments are set up to verify the effectiveness of the proposed algorithm. The experimental results show that the global numerical ant colony algorithm based on the Internet of Things is better than the traditional ant colony algorithm and the cultural ant colony algorithm, and the convergence speed is faster, which further improves the efficiency of the cultural media.

中文翻译：

---

基于全局数值蚁群算法的物联网文化媒体效率提升

探索物联网下的文化媒体，不仅是理解物联网时代文化景观的必然需求，也是人们在新媒体中的延伸。将物联网理解为媒体组织和生产的一种新范例，它应该阐明物联网中的技术和主体，从而可以阐明与媒体建立关系的目标。物联网解决了信息传播和社会互动的虚拟多维问题，开辟了文化交流的新视野。但是，物联网技术使思想文化交流渠道更加多样化，更加复杂。如何提高文化媒体的效率是当前研究的热点。因此，本文以文化媒体为研究对象，采用物联网技术构建全球数字蚁群算法的物联网文化媒体效率优化模型。首先，利用新的双层进化机制重新设计了文化算法的种群空间和信念空间。然后，使用最大和最小蚁群系统构建种群空间，并通过在信念空间中进行三次选择交叉变换来改进当前的最优解。最后，通过仿真实验验证了所提算法的有效性。实验结果表明，基于物联网的全局数值蚁群算法优于传统的蚁群算法和文化蚁群算法，