群体智能优化算法的区域景观规划方法
A Regional Landscape Planning Method Based on Swarm Intelligence Optimization Algorithm
周芸1
作者信息
- 1. 安徽文达信息工程学院,安徽 合肥 231201
- 折叠
摘要
由于应用传统方法无法因地制宜地进行区域景观规划设计,导致规划后的区域景观适应度较低,因此提出基于群体智能优化算法的区域景观规划方法.采用倾斜摄影测量技术,构建区域景观三维场景,在此基础上,利用群体智能优化算法划分景观建设区域,最后从道路、建筑、水体、绿化设施等方面,得出区域景观的规划结果.将设计的规划方法应用到实际中可以发现,应用所提方法可进行区域景观优化设计,且规划后适宜度综合评分为 90.47,优于对比方法,具有更好的规划效果.
Abstract
Due to the inability of traditional methods to tailor regional landscape planning and design to local conditions,the adapt-ability of the planned regional landscape is low.Therefore,a regional landscape planning method based on swarm intelligence optimization algorithm is proposed.Firstly,use oblique photogrammetry technology to construct a three-dimensional scene of the regional landscape.Then,based on this,a swarm intelligence optimization algorithm is used to divide the landscape construction area,and the regional land-scape pattern is determined from three parts:patches,substrates,and corridors.Finally,the planning results of the regional landscape are obtained from the aspects of roads,buildings,water bodies,and green facilities.Applying the designed regional landscape planning method to practical planning work,it can be found that the proposed method can optimize the regional landscape design,and the comprehensive suitability score after planning is 90.47,which is better than the comparative method and has better planning effect.
关键词
区域景观/景观规划/群体智能优化算法/三维场景Key words
regional landscape/landscape planning/swarm intelligence optimization algorithm/three-dimensional scene引用本文复制引用
基金项目
安徽文达信息工程学院自然科学重点科研项目(XZR2023A03)
安徽省省级质量工程项目(2022jyxm1674)
出版年
2024
NETL
NSTL
万方数据