Research On Multi Agent Manufacturing Process Optimization Method Based On QPSO

Since twenty-first Century,the economic globalization has been accelerating,and the level of manufacturing industry is advancing rapidly.After the first three industrial revolutions,the leading countries have entered a stable era.In 2013,Germany first proposed the fourth generation of industrial "Industry4.0" strategic planning,the German manufacturing has always been in the forefront of the world,the "Industry4.0" is also to ensure that Germany in the world's leading position in the manufacturing industry,the German "Industry4.0" will have a certain impact on the world industry level.Our country draws on the "Industry4.0",analyzes the present situation of China's manufacturing industry,and puts forward the "Made in China 2025".With the arrival of the fourth industrial revolution,the theme of the industrial revolution is intelligent manufacturing,which is also the core of the industrial revolution,and to be the next generation of manufacturing systems that will meet the new era of the 21 st century.The purpose of this paper is to establish a reasonable coordination mechanism for each workshop in the manufacturing process of smart manufacturing under the process of manufacturing,how to achieve a reasonable allocation of resources,achieve energy-saving emission reduction,and achieve green production and efficient production.In this paper,according to the characteristics of process industry,analyzes the distributed structure of Multi-Agent technology and process industry manufacturing process by using the characteristics of Agent,and designs a hierarchical and distributed manufacturing process optimization model based on MAS system.In the application of the algorithm,the characteristics of Particle Swarm Optimization and Quantum behavior Particle Swarm Optimization are compared.Through the single peak function and multi peak function,proves the advantages of the quantum behavior particle swarm optimization(QPSO)in the convergence speed,the global optimal and the running time.In the process of solving complex problems,a mathematical model of multi-objective optimization is established,and the overall objective function of this paper is defined,as well as the four sub objective functions under the whole objective function.A complete simulation system is established based on the model and data provided by a glass fiber industry.Finally,the Quantum behavior Particle SwarmOptimization is adopted.The mixed programming of algorithm and Multi-Agent system is used to process the actual data of glass fiber,and the rationality of the model is verified by experimental comparison.