摘要
为了提高城市建筑布局的合理性,提升建筑之间的连通性,提出空间视角下地域性建筑布局优化模型设计方法。基于空间视角分析空间聚集状态和经济聚集状态,根据分析结果构建地域性建筑布局优化模型,将城市规划区域分割成不同的网格。采用遗传算法通过染色体编码、染色体修复以及交叉变异操作获取模型的最优解,实现地域性建筑的布局优化。仿真结果表明,所提方法布局优化后建筑之间的连通性较高、生态容积率高,验证了所提方法的合理性和有效性。
In order to improve the rationality of urban building layout and enhance the connectivity between buildings, from the perspective of space, a method of designing a regional architectural layout optimization model was proposed. Based on the spatial perspective, the spatial agglomeration state and economic agglomeration state were analyzed, and then a regional building layout optimization model was constructed to divide the urban planning area into different grids. After chromosome coding, chromosome repair and cross-mutation, the genetic algorithm was adopted to calculate the optimal solution of the model. Finally, the layout optimization for regional buildings was achieved. Simulation results show that the proposed method has high connectivity between buildings and high ecological floor area ratio after layout optimization, and the rationality and effectiveness are proved indirectly.
作者
徐晶
樊敏
XU Jing;FAN Min(Jinling Institute of Technology,Jiangsu Nanning 211169,China;School of Civil Engineering,Southwest Jiaotong University,Chengdu Sichuan 610031,China)
出处
《计算机仿真》
北大核心
2023年第1期311-314,427,共5页
Computer Simulation
基金
江苏省教育学科“十四五”规划2021年度课题(T-C/2021/106)。
关键词
空间视角
地域性建筑
布局优化
遗传算法
空间聚集
Spatial perspective
Regional architecture
Layout optimization
Genetic algorithm
Spatial aggregation
