Beijing Technology and Business University, Beijing, China.
Chinese Academy of Personnel Science, Beijing, China.
J Environ Public Health. 2022 Sep 22;2022:1518755. doi: 10.1155/2022/1518755. eCollection 2022.
This paper presents an improved method for selecting a specific location in the development of convenience stores in municipal areas. This method solves the problem of self-service store location from the perspective of sustainability and uncertainty and adequately considers the characteristics of individual locations with the proposition of an improved grey wolf optimization algorithm. The example presented shows that the improved algorithm has obvious advantages in facilitating the selection of convenience stores with respect to the search precision, stability, and convergence. Based on the macroenvironment, income, and cost, this work establishes a relatively complex, complete, and targeted mathematical model. Finally, taking the Xiaonanzhuang area of Suzhou Street in Beijing as an example, the scientificity, feasibility, and sustainability of the location model are verified.
本文提出了一种改进的方法，用于选择城市地区便利店发展的特定位置。该方法从可持续性和不确定性的角度解决了自助商店位置的问题，并充分考虑了各个位置的特点，提出了一种改进的灰狼优化算法。所提出的示例表明，改进的算法在促进便利店的选择方面具有明显的优势，在搜索精度、稳定性和收敛性方面都有明显的优势。本文基于宏观环境、收入和成本，建立了一个相对复杂、完整和有针对性的数学模型。最后，以北京市苏州街小南庄地区为例，验证了选址模型的科学性、可行性和可持续性。
