Modern Intelligent Rural Landscape Design Based on Particle Swarm Optimization

计算机科学 粒子群优化 元启发式 多群优化 群体行为 数学优化 人工智能 算法 数学
作者
Feng Qin
出处
期刊:Wireless Communications and Mobile Computing [Hindawi Limited]
卷期号:2022: 1-9 被引量:1
标识
DOI:10.1155/2022/8246368
摘要

With the gradual maturity of the development of scientific and technological modernization, China’s economic level has risen rapidly, and people’s living conditions have been further improved. Emerging technologies such as artificial intelligence, Internet of things, and big data have brought new opportunities for China’s urban construction and landscape design. Facing the development of modern science and technology, the application of landscape design in rural construction has become the main research object. In this paper, particle swarm optimization algorithm is used to study the modernization of rural landscape design. Starting with intelligent technology, particle swarm optimization algorithm is used to improve the traditional model of rural landscape design. Firstly, the control range of rural landscape lighting system is divided into regions, the user needs are processed, and the intelligent system of landscape lamps is further adjusted. It improves the problems of energy conservation and environmental protection in rural landscape design. Finally, based on the particle swarm optimization neural network supervision algorithm, the rural planning land is allocated intelligently. The intelligent design of sprinkler irrigation equipment in landscape architecture can adjust the sprinkler area and range according to the growth period of crops and achieve the purpose of real-time monitoring.
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