Urban domestic garbage collection and transportation scheduling under the background of garbage classification

Abstract

Garbage classification treatment is an indispensable part of national ecological civilization construction and its effective implementation is greatly affected by the efficiency of the urban domestic garbage collection system. In view of the vehicle routing optimization problem with vehicle capacity constraints and time window constraints, the genetic algorithm is used to solve and optimize the established model. The best collection and transportation paths of four kinds of urban domestic garbage are obtained, which significantly shortens the distance of collection and transportation paths. The effectiveness of the algorithm is verified, which provides ideas for improving the efficiency of urban domestic garbage classification, collection and transportation scheduling