Study on Optimization of Takeout Delivery Route in the Crowdsourcing Model

Abstract

With the rapid development of the O2O model, takeout has brought convenience to people's lives and has become an indispensable part of people's daily life. The takeout crowdsourcing distribution model can fully use idle social labor and alleviate the distribution pressure of the platform during the peak period. Because of the timeliness of takeout crowdsourcing delivery and the freedom of crowdsourcing deliverers, this paper established a mathematical model for optimizing the takeout crowdsourcing delivery route with the minimum distance cost and penalty cost as the target. The Genetic Algorithm is used to solve the problem, and finally, the feasibility of the model and algorithm is verified.