基于单亲遗传算法的城市风景园林空间元素布局优化方法  

Optimization Method of Spatial Element Layout of Urban Landscape Architecture Based on Parthenogenetic Algorithm

作　　者：冯羽 陈柯 FENG Yu;CHEN Ke(Huaqing College,Xi an University of Architecture and Technology,Xi an 710043,China)

机构地区：[1]西安建筑科技大学华清学院,西安710043

出　　处：《人工智能科学与工程》2024年第3期84-90,共7页ARTIFICIAL INTELLIGENCE SCIENCE AND ENGINEERING

基　　金：陕西省教育厅2022年度科学研究计划专项项目(22JK0443)。

摘　　要：为了提高城市风景园林空间元素布局优化的合理性,提出一种基于单亲遗传算法的城市风景园林空间元素布局优化方法。该方法首先对城市风景园林空间元素布局图像进行归一化处理,将图像分解成不同方向上的子带,得到城市风景园林空间元素布局的加权无向图;其次,构建空间元素布局图像边缘的纹理特征向量集合,提取城市风景园林空间元素布局特征,并基于此构建元素布局优化的因素体系,根据评价指标的信息量权重和价值量权重,构建空间元素布局优化模型;最后,利用单亲遗传算法求解布局优化模型,实现城市风景园林空间元素的布局优化。实验结果表明,经过该方法优化后,城市风景园林的环境质量显著提高,布局优化的合理性指数提升至0.95以上。In order to improve the rationality of optimizing the layout of urban landscape architecture spatial elements,a Partheno-genetic algorithm method for optimizing the layout of urban landscape architecture spatial elements is proposed.By normalizing the layout image of urban landscape garden spatial elements,the image was decomposed into sub bands in different directions to obtain a weighted undirected graph of the layout.Constructed a set of texture feature vectors for image edges and extract element layout features.Constructed a factor system for optimizing element layout,and construct a spatial element layout optimization model based on the information weight and value weight of evaluation indicators.Using Partheno-genetic algorithm to solve layout optimization model and achieve layout optimization of spatial elements in urban landscape architecture.The experimental results show that the environmental quality of urban landscape architecture has significantly improved after optimizing the methods in the article,and the rationality index of layout optimization has been increased to above 0.95.

关 键 词：单亲遗传算法 空间元素 园林空间 布局优化 城市风景 合理性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]