Department of Basic Science, Jilin Jianzhu University, Changchun 130000, China.
Comput Intell Neurosci. 2022 Aug 28;2022:1827209. doi: 10.1155/2022/1827209. eCollection 2022.
The traditional methods deal with large sample data sets of architectural engineering drawings and they have high time complexity and space complexity as well. Their searching time is long and sometimes the results are unsatisfactory. Therefore, this paper proposes an optimization method designed for architectural engineering drawing parameters to overcome the limitations of the traditional methods. It is based on the improved chaotic algorithm. The algorithm proposes the optimization model of architectural engineering drawing (AED) parameters in the first phase. In the second phase, an improved chaos algorithm is used to optimize the parameters of architectural engineering drawing, and the modeling strategy of visual parameter optimization environment is constructed. Finally, the visualization parameter optimization process of architectural engineering drawing is completed. Through experiments, it is evidently observed that the method presented in this paper can effectively reduce the optimization time, improve the lighting illumination of buildings, and improve the optimization precision of architectural engineering drawing parameters. The proposed method considers multiple parameters and it has greater application ability in the field of architectural designs.
传统方法处理建筑工程图纸的大数据集，其时间复杂度和空间复杂度都很高。它们的搜索时间很长，有时结果也不尽如人意。因此，本文提出了一种针对建筑工程图纸参数的优化方法，以克服传统方法的局限性。它基于改进的混沌算法。该算法在第一阶段提出了建筑工程图纸参数的优化模型。在第二阶段，使用改进的混沌算法优化建筑工程图纸的参数，并构建可视化参数优化环境的建模策略。最后，完成建筑工程图纸的可视化参数优化过程。通过实验，明显观察到本文提出的方法可以有效地减少优化时间，提高建筑物的照明效果，并提高建筑工程图纸参数的优化精度。所提出的方法考虑了多个参数，在建筑设计领域具有更大的应用能力。
