Research on Spatial Geometric Transformation and Path Planning Problems in Plant Landscape Design Based on Topology Optimization Algorithm

Abstract

This paper designs the overall architecture and operational workflow of the system based on the hardware design of traditional digital plant landscape planning systems. Considering the system's flexibility, network operation mode, and operational security, the system's topological structure is determined. The system database is established from two aspects: data relationships and data types. This enables the system to perform digital plant landscape planning functions. On one hand, the system can achieve spatial geometric transformations of plant landscapes; on the other hand, it can optimize landscape paths based on an improved fish swarm algorithm. The landscape association values, minimum ecological damage values, and maximum spatial utilization values obtained from the plant landscape spatial element layout optimization model are superior to the target values of the actual scheme. Compared with the hybrid genetic algorithm, the path planning method based on the improved artificial fish school algorithm reduces the runtime by 34.4% and achieves better optimal solutions, path lengths, and smoothness than the hybrid genetic algorithm. This system can effectively solve the problems of spatial geometric transformation and path planning in plant landscape design.