Automatic-guided-vehicle dispatching control method based on genetic algorithm

Abstract

The invention discloses an automatic-guided-vehicle dispatching control method based on the genetic algorithm, and relates to the technical field of automatic-guided-vehicle control methods. The automatic-guided-vehicle dispatching control method includes the following steps that 1) an automatic-three-dimensional-warehouse mathematical model is established; 2) on the basis that cargo-out-in-conveying tasks are carried out with the grouping strategy, the established model is solved with the basic genetic algorithm, the genetic operation of the basis genetic algorithm is modified, and the height of a path of an automatic guided vehicle is shortened. According to the automatic-guided-vehicle dispatching control method based on the genetic algorithm, the multi-AGV dynamic adjusting method based on the genetic algorithm is adopted, and when the out-in tasks with the large logistics quantity exist in an automatic three-dimensional warehouse, an optimized scheme that multiple AGVs are dispatched for the cargo-out-in-conveying tasks, plugging and idle running of the AGV are reduced, and the efficiency of a conveying system is improved.

Description

technical field [0001] The invention relates to the technical field of control methods for automatic transport trolleys, in particular to a scheduling control method for automatic transport trolleys based on genetic algorithms. Background technique [0002] The conveying system of the automated three-dimensional warehouse is generally divided into three types: (1) Straight track type: there are one or more automatic handling vehicles (AGV) reciprocating on a straight track; (2) Segmented type: There are several tracks , each AGV runs on a fixed track; (3) Circular track type: There are multiple AGVs running on a circular track. The design and manufacture of the first two conveying systems and AGV scheduling are relatively simple, but the efficiency is relatively low under large material flow, which cannot meet the actual requirements. Under the condition of large material flow, that is, when the number of AGVs is less than the number of incoming and outgoing goods tasks in ...

AI Technical Summary

Problems solved by technology

The design and manufacture of the first two conveying systems and AGV scheduling are relatively simple, but the efficiency is relatively low under large material flow, which cannot meet the actual requirements

Under the condition of large material flow, that is, when the number of AGVs is less than the number of incoming and outgoing goods tasks in some time, how to efficiently dispatch multiple AGVs in the third type of transportation system is difficult to achieve

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