摘要
传统城市生态景观用地空间布局方法受到城市建设功能性、土地使用性质等多因素限制,在生态景观用地空间布局过程中存在局部偏差,所得布局结果的合理性与设计预期布局之间存在一定差距,在一定程度上影响力城市布局进度及其整体布局效果。为了彻底解决这一问题,结合城市生态景观用地空间属性,引入二阶聚类、蜂群算法两种优化方案共同对其布局进行优化。首先,城市生态景观用地空间布局优化目标函数确认;然后,蜂群算法引入及参量定义更新;最后,蜂群优化布局策略的二阶聚类优化输出;通过仿真性能对比结果,能够说明提出优化方法局部提升布局合理性,降低多因素扰动对布局结果的影响,改善布局结果精准度的能力,满足方法设计预期。
The traditional urban ecological landscape land space layout method by urban construction function,land use properties,in the process of ecological landscape land space layout of local deviation,the rationality of the layout results and design a certain gap between expected layout,to a certain extent,influence urban layout progress and the overall layout effect.In order to solve this problem thoroughly,combined with the spatial properties of urban ecological landscape land,second order clustering and swarm algorithm are introduced to optimize the layout.First,the objective function of the spatial layout of urban ecological landscape land is confirmed;then,the swarm algorithm is introduced and the parameter definition is updated;finally,the second order clustering optimization output of the layout strategy of swarm optimization;through the simulation performance comparison results,it can explain the proposed optimization method to locally improve the rationality of the layout,reduce the impact of multi-factor disturbance on the layout results,improve the accuracy of the layout results,and meet the expectation of the method design.
作者
徐文艳
朴成俊
XU Wenyan;PIAN Chengjun(Department of Art and Design,Ma'anshan Teachers College,Ma'anshan,Anhui 243000;Department of Architecture and Engineering,Qiming University,Daegu 42601)
出处
《武夷学院学报》
2024年第9期52-58,共7页
Journal of Wuyi University
基金
2022年安徽省科学研究重点项目(2022AH052827)
2021安徽省质量工程(2021jxtd282)。
关键词
城市生态景观
空间布局
二阶聚类
蜂群算法
ecological landscape
spatial layout
second-order clustering
swarm algorithm
