Design And Implementation Of Warehouse Management System Based On Beetle Antennae Search Algorithm

With the continuous development of Internet technology and economic standards,information management has gradually become the mainstream direction of development of modern society.Warehousing is an indispensable part of traditional industries,especially the manufacturing industry,which is mainly manufacturing and processing,and the degree of its informatization affects the operational efficiency of enterprises.With the speed of industrial production and the increasing number of outbound and inbound tasks,the optimization of material picking paths in outbound tasks becomes the key to improving the efficiency of warehouse management operations.This thesis introduces the new intelligent search algorithm Beetle Antennae Search algorithm into the picking path optimization problem,and researches and implements a warehouse management system based on Beetle Antennae Search algorithm,which not only has certain theoretical significance but also has high practical application value.In this thesis,we firstly studied the discretization method of Beetle Antennae Search algorithm,and improved the discrete Beetle Antennae Search algorithm by introducing population initialization strategy and location update strategy.Then,we analyze the requirements and business processes of the warehouse management system,and discuss the picking problem in the outbound business.On this basis,a picking path model of the warehouse management system is established,a picking path algorithm based on the improved discrete Beetle Antennae Search algorithm is proposed and implemented,and a warehouse management system based on the Beetle Antennae Search algorithm is designed and implemented.The main work of the thesis is as follows:(1)A discrete Beetle Antennae Search algorithm is proposed for the combinatorial optimization problem to make it applicable to the traveling salesman problem.Experimental results on the TSP problem demonstrate the effectiveness of the discrete Beetle Antennae Search algorithm.(2)An improved discrete Beetle Antennae Search algorithm is proposed by introducing population initialization strategy and position update strategy to resolve the problems such as slow convergence speed and easy to fall into local optimum.The experimental results on the TSP problem show that the improved discrete Beetle Antennae Search algorithm can effectively solve the TSP problem,while the convergence speed of the algorithm is faster,and it has a better optimal finding ability and stability.The improved algorithm is applied to the multi-goods picking path optimization problem in warehousing,and the picking path optimization algorithm based on the improved discrete Beetle Antennae Search is proposed and implemented.(3)The analysis and summary of the business process and requirements of the warehouse management system were conducted,and a warehouse management system based on C/S architecture was designed and implemented to realize the informationization and standardization of warehouse management and improve the efficiency of warehouse operating.