Waste smoke recovery method based on multi-AGV time window path optimization algorithm

The invention discloses a waste smoke recovery method based on a multi-AGV time window path optimization algorithm. The method is characterized by comprising the following steps: step SS1, conductingmathematical modeling according to the completion time point of a material carrying task, an AGV system allocation task, an AGV goods taking and placing period and the walking speed, and through usingthe total time influence on task completion of an AGV system as an objective function; step SS2, optimizing an AGV system scheduling particle swarm algorithm, and seeking a globally optimal solution;and step SS3, based on the optimized particle swarm algorithm obtained in the step SS2, generating an objective function of the particle swarm algorithm based on the AGV scheduling strategy by performing multi-dimensional space representation on vector particles. According to the method, related solutions are completed by applying an improved particle swarm algorithm, mathematical modeling is carried out, a material carryi