Construction of a 3D Indoor Aging Friendly Design System based on Adaptive Genetic Algorithm

The aging of the global population makes the age-friendly design a hot topic in the design field and society. A three-dimensional indoor elderly friendly design system based on adaptive genetic algorithm is proposed to create a safe, comfortable and convenient living environment for the elderly. This paper introduces the construction of adaptive genetic algorithm, including population initialization, parameter setting, adaptive mechanism and fitness function design. In addition, this paper also analyzes the requirements of aging-friendly design, and transforms these requirements into quantifiable design parameters, which are encoded into the chromosomes of genetic algorithm. The experimental results show that the processing time of AGA is obviously lower than that of SGA, the accuracy reaches 98.8%, and the stability remains above 90.6%. The user satisfaction score reaches 9.9, which shows the potential of the system in providing high-quality design solutions.