基于遗传算法的建筑布局中工作流的构建与优化研究——以沈阳市沈河区硫酸厂旧址更新设计为例

Research on the Construction and Optimization of Workflow in Architectural Layout Based on Genetic Algorithm:A Case of the Renewal Design for the Old Site of a Sulfuric Acid Factory in Shenhe District,Shenyang

遗传算法是一种模拟自然进化的计算模型,在数学和计算机科学等多个领域有着广泛的应用,在建筑设计中同样具有重要的应用价值。文章提出了一种基于遗传算法的逆向优化方法,并构建了设计工作流,为前期批量生成合理的建筑布局方案提供了一套解决方法。此工作流通过参数化形态建模和遗传算法对建筑性能进行优化分析,并以增加建筑冬至日采光时间作为优化目的,在冬至日平均采光时间由最小的0.59 h提高到1.12 h,结果表明该工作流可用于批量生成优化布局方案,为建筑布局优化提供了一种有效的解决思路。

Genetic algorithm is a computational model that simulates natural evolution and has extensive applications in various fields,such as mathematics and computer science.It also has important application value in architectural design.This paper proposes a reverse optimization method based on genetic algorithm and constructs a design workflow,providing a solution for generating reasonable architectural layout schemes in the early stage.This workflow optimizes the architectural performance through parametric morphological modeling and genetic algorithm,with increasing the winter solstice daylighting time as the optimization target.The average daylighting time on the winter solstice increased from a minimum of 0.59 hours to 1.12 hours,indicating that this workflow can be used to generate optimized layout plans in batches,providing an effective solution for the optimization of architectural layout.