Department of Civil Engineering & Architectural, Nanyang Normal University, Nanyang 473061, China.
Comput Intell Neurosci. 2022 Jul 19;2022:1745593. doi: 10.1155/2022/1745593. eCollection 2022.
City brain is a complex system, including online center, server network, and system with given algorithm. The core of the city brain is the intelligent system. After putting the urban brain into the intelligent nerve center, on the basis of not changing its original data structure, combining its own characteristics for design and then integrating into application, it can intelligently change the urban management mode. Urban planning leads the development of smart cities on a certain meaning, and smart city planning must have scientific and rational urban planning. The intelligent model is used to make urban planning form a more modern, convenient, and reasonable urban architectural planning. Some influential books on classical architectural theory are the theoretical basis of intelligent urban planning and even the trend and implementation blueprint of how smart cities will develop in the future. In this paper, four algorithms, ant colony algorithm, particle swarm optimization algorithm, genetic algorithm, and improved ant colony algorithm, are proposed to optimize the characteristics of urban architectural planning and landscape design; especially the security research of architecture and landscape characteristics is very important. The improved ant colony algorithm has the shortcoming of insufficient optimization ability in the face of complex path selection. By improving the influencing factors, a new ant colony algorithm is created. The improved ant colony algorithm achieves the best in security features, so it is advocated to use this algorithm for planning and design. The urban form in smart city aims to create a beautiful and comfortable urban environment, improve the competitiveness of cities in the rapid urbanization process, improve the living standards of the public, and shape the image of this beautiful city.
智慧城市是一个复杂的系统，包括在线中心、服务器网络和具有给定算法的系统。城市大脑的核心是智能系统。将城市大脑投入智能神经中枢后，在不改变其原始数据结构的基础上，结合自身特点进行设计，然后融入应用，智慧城市管理模式就可以智能化地改变。城市规划在某种意义上引领着智慧城市的发展，而智慧城市规划必须有科学合理的城市规划。智能模型用于使城市规划形成更现代、更方便、更合理的城市建筑规划。一些有影响力的古典建筑理论书籍是智能城市规划的理论基础，甚至是未来智慧城市发展的趋势和实施蓝图。本文提出了四种算法，即蚁群算法、粒子群优化算法、遗传算法和改进的蚁群算法，用于优化城市建筑规划和景观设计的特点；特别是建筑和景观特点的安全研究非常重要。改进的蚁群算法在面对复杂的路径选择时存在优化能力不足的缺点。通过改进影响因素，创建了一种新的蚁群算法。改进的蚁群算法在安全特性方面表现最佳，因此提倡使用该算法进行规划和设计。智慧城市中的城市形态旨在创造一个美丽舒适的城市环境，提高城市在快速城市化进程中的竞争力，提高公众的生活水平，并塑造这座美丽城市的形象。
