Application of particle swarm optimization algorithm in address, taking food delivery cabinets in communities with high-rise buildings neighbourhoods as an example

• Main Authors: Li, Yuxi, Zhu, Ge, Zheng, Ji
• Format: Conference Proceeding
• Language: English
• Published: SPIE 25.05.2023
• ISBN: 1510666478; 9781510666474
• ISSN: 0277-786X
• DOI: 10.1117/12.2679135

With the development of the takeaway industry, the demand for space to deposit takeaway food increases rapidly. Currently, an increasing number of office buildings and communities are equipped with food delivery cabinets. However, the conventionally inconsiderate site selection has incurred problems of poor experience for takeaway consumers. In this case, this paper applied the center-of-gravity method to build models for consumers' complaint rate and distance to the food delivery cabinet. The models are solved using particle swarm optimization (PSO) while they are subject to nonconvex functions due to the large volume of data. Compared with conventional site planning, this approach evades local optimal solution, and PSO starts to converge at a favorable rate from the early phase (the 40th iteration). Therefore, the PSO algorithm is efficient in the site planning practice of food delivery cabinets and generates accurate results, offering a brand-new perspective for it.