基于改进遗传算法的城市街道空间布局优化研究

Research on Optimization of Urban Street Space Layout Based on Improved Genetic Algorithm

摘要:

为了优化城市街道的空间分布，提出了一种基于改进遗传算法的城市街道空间布局优化方法。搭建城市街道空间布局模型，设置街道空间布局优化约束条件，通过优化编码过程完成遗传算法改进，利用改进后的遗传算法从市政、景观、专项设置和建筑4个方面制定城市街道空间布局优化方案。以盐城市文港路街区改造项目为例，按照新的布局优化思路完成改造。从总评分上看，优化前城市街道空间布局评分处于[0.5，0.7)区间，说明此时的街区空间布局能够基本满足期望。优化后城市街道空间布局评分处于[0.9，1.0]区间，说明此时的城市街道空间布局较为优秀，该方法的城市街道空间布局优化效果好。

Abstract:

In order to optimize the space distribution of urban streets, an optimization method of urban street space layout based the improved genetic algorithm is proposed. The model of urban street space layout is built. The constraints for the optimization of the street space layout are set. The improvement of genetic algorithm is completed through the optimization of coding process. By using the improved genetic algorithm, the optimization scheme of urban street space layout is formulated from four aspects of municipal, landscape, special settings and architecture. Taking the reconstruction project of Wengang Road Block in Yancheng City as an example, the reconstruction is completed according to the new layout optimization idea. From the perspective of total score, the score of urban street space layout before optimization is in the range of 0.5~0.7, which indicates that the street space layout at this time can basically meet the expectations. The score of urban street space layout after optimization is in the range of 0.9~1.0, which indicates that the urban street space layout at this time is more excellent. The optimization effect of urban street space layout by this method is good.