Department of Space Design, Kookmin University, Seoul 02707, Republic of Korea.
Comput Intell Neurosci. 2022 Jul 6;2022:1523330. doi: 10.1155/2022/1523330. eCollection 2022.
Aiming at the problems of poor layout design efficiency of smart home products and low rationality of layout planning, a layout design method for smart home products based on a real-number coding genetic algorithm is proposed. The principles of smart home product layout design are analyzed and the smart home system architecture based on the Internet of Things is designed. Divide the combination of smart home product layout space according to spatial function, extract the visual features of smart home product layout, build a smart home product layout optimization model based on the two constraints of the total area and individual area of smart home product spatial layout, and design a real-coded genetic algorithm. The model is solved to improve the global convergence of the algorithm, and the optimization method for the layout of smart home products is obtained. The experimental results show that the layout design method of smart home products based on a real-number coding genetic algorithm can accurately extract the layout features of smart home products and accurately classify the number of pairs of homes. The efficiency of layout design and rationality of layout planning of smart home products are better, which reflects the effectiveness of this method.
针对智能家居产品布局设计效率差和布局规划合理性低的问题，提出了一种基于实数编码遗传算法的智能家居产品布局设计方法。分析智能家居产品布局设计原则，设计基于物联网的智能家居系统架构。根据空间功能对智能家居产品布局空间进行组合划分，提取智能家居产品布局的视觉特征，建立智能家居产品空间布局总面积和单个面积两个约束的智能家居产品布局优化模型，并设计实数编码遗传算法对模型进行求解，提高算法的全局收敛性，得到智能家居产品的布局优化方法。实验结果表明，基于实数编码遗传算法的智能家居产品布局设计方法能够准确提取智能家居产品的布局特征，准确分类智能家居产品对，智能家居产品的布局设计效率和布局规划合理性更好，体现了该方法的有效性。
