Particle Swarm Optimization Algorithm to Correlation Analysis of Green Ecological Buildings and Natural Environment Protection

Abstract

With the acceleration of urbanization, urban environmental problems are becoming more and more serious. Particle swarm optimization algorithm has unique advantages in solving the problems of green ecological buildings and urban environmental development. In order to clarify the relationship between green ecological buildings and environmental protection, this paper uses particle swarm optimization algorithm to explore the relationship between the two. In this paper, the investigation and comparison methods are mainly used to study the correlation between green ecological buildings and natural environment protection. The survey results show that the incremental cost of water saving accounts for 5.8% of the total cost. Therefore, in green buildings, we need to focus on the construction of water to reduce water pollution and waste.