Research On Manufacturing Cloud Service Selection Method Based On Improved Particle Swarm Optimization

With the rapid development of information technology,a new type of manufacturing model has emerged quietly.It is proposed on the premise that the development level of domestic manufacturing industries and the rapid development of industrial production,industrial technology and the development of China's manufacturing industry information.Cloud manufacturing developed from cloud computing refers to the use of network cloud platform and the use of advanced computer technology and intelligent manufacturing technology.As the name suggests,cloud manufacturing can provide users with high-quality manufacturing resources in the cloud according to the user's request.Clouding the manufacturing industry is the focus of cloud manufacturing.Therefore,cloud manufacturing is a special kind of cloud computing.However,compared with cloud computing,cloud manufacturing is more targeted.In the process of cloud manufacturing,it contains information about the manufacturing resources that appear throughout the manufacturing process.When the service is called,cloud manufacturing will create all of the life cycle.Coordinated management of manufacturing-related software and hardware information is of great significance in analyzing failures.Cloud manufacturing forms a shared platform for network sharing and manufacturing resource integration through recorded information.Because of the existence of a shared platform,it enables manufacturers or users to access and use manufacturing resources.The most important point in the system of manufacturing cloud management manufacturing resources is to adjust the manufacturing resources and manufacturing capabilities of manufacturing cloud services according to user requirements and constraints,and to find the most comprehensive service that meets the requirements.This is very important in the manufacturing cloud.Link.This article refers to this type of problem as the goal planning problem for manufacturing cloud service selection.In order to meet this requirement,this paper based on the traditional PSO algorithm and the service quality related to manufacturing cloud service selection and other related factors,improved the traditional PSO,and put forward a comprehensive improvement.Manufacturing cloud service selection method based on particle swarm optimization In order to make the following contribution to the service selection problem in the manufacturing cloud environment,the first is the manufacturing service selection problem of single target under the manufacturing cloud environment.This paper proposes an improved ring topology to improve the traditional particle swarm optimization;secondly,it is to manufacture clouds.In the context of multi-objective service selection in the environment,a new type of penalty function is proposed to improve the particle swarm optimization by considering the constraint factors and the influencing factors in service selection.The second is the preservation of the global optimal solution of the particle swarm optimization algorithm.How to more accurately search the service set that meets the requirements of the objective function,this paper proposes a vector container method to improve the particle swarm optimization algorithm.The experimental results prove that the improved algorithm in this paper is feasible when performing the manufacturing cloud service selection.