基于层次分析法和遗传算法的山地公园道路选线优化研究  

Research on the Optimization of Road Route Selection in Mountainous Parks Based on Analytic Hierarchy Process and Genetic Algorithm

作　　者：杨添 蔺薛菲[1] 龚豪 毛轩 Yang Tian;Lin Xuefei;Gong Hao;Mao Xuan

机构地区：[1]湖南农业大学风景园林与艺术设计学院

出　　处：《城市建筑》2025年第7期66-69,共4页Urbanism and Architecture

摘　　要：在公园设计中,道路选线设计结合使用者的偏好较为困难,了解使用者的偏好,并与参数化道路选线结合,可以得到更符合使用者出行习惯的道路选线结果。实验目标区域选择湖南省长沙市南郊公园,利用层次分析法对该公园的使用者偏好进行权重分析,作为道路选线影响因素,以Rhino+Grasshopper平台为依托,利用Galapagos组件构建可视化遗传算法优化模型对道路选线进行运算,最终实现道路选线的优化方案,为山地公园道路选线设计提供参考。Integrating user preferences with road route design can be a challenging task in park design.Understanding the user preferences and combining them with parameterized road route selection can yield road route selection results that better cater to user needs.The paper selects Nanjiao Park in Changsha,Hunan Province as the target experiment area,and uses the analytic hierarchy process to analyze the weights of the user preferences of this park,which are then used as the factors influencing the road route selection.Relying on the Rhino+Grasshopper platform,the paper uses Galapagos component to build a visual genetic algorithm optimization model to calculate the road route selection,and finally obtains the optimized scheme for the road route selection.It provides a reference for the road route selection design of mountainous parks.

关 键 词：参数化 道路选线 Rhino+Grasshopper 层次分析法 

分 类 号：TU982.122[建筑科学—城市规划与设计]