Research For Complex Industrial Process Resource Allocation Optimization Algorithm

Resource allocation is an very important method of production decision conscious. Resource Allocation could effectively improve production efficiency, thus brings economic benefits. Back in the fifties, people started to research the problem of resource allocation. And now in the 21st century, the flourishing science and technology makes manufacturing industry more intelligent, and the process of manufacturing becomes more miscellaneous. Therefore, how to schedule resource consciously becomes a hotspot for researchers.In order to adapt to the pace of global economic development, our country must change the economic model, so the pillar industry of industrial manufacturing industry must adapt to the global economic environment in order to seek greater development. At present, the rapid development of science and technology is constantly pushing the reform of manufacturing, the sector’s resources allocation was in a "labor intensive-equipment-information intensive-knowledge intensive" direction of continuous development, which also makes the manufacturing industry can not to improve production methods, which in a "Manual-Mechanization-Automation-Intelligent Automation" direction. Therefore, the study of complex industrial processes resource scheduling modeling, optimization will become one of the core theoretical foundation of advanced intelligent control technology.Complex industry includes the industrial manufacturing process such as parts processing, clothing production, oil refining, and metallurgy. As a product needs to be produced or refined several times, the resource consumption generated during in the process would no doubt lower industrial production efficiency. So, we need to fully consider the use of all the resources to minimize resource consumption.This thesis through a full analysis of the research status of complex industrial processes resource allocation, study a resource scheduling model based on knowledge and a intelligence algorithm which has knowledge evolution and natural evolution, and then use this intelligence algorithm to optimize the complex industrial processes resource scheduling. I proposed to establish the basis of theoretical analysis, and use the new intelligent algorithms to gear processing industry during the simulation example, to verify the effectiveness of the algorithm. This thesis, aiming at problem of resource allocation, expands the following survey.(1) By researching the theory of resource allocation of complex industry, get constraint allocation procedure and appropriate allocation parameters, and then the thesis carefully analyzes and compares the existing methods of resource allocation, get the advantages and disadvantages of various algorithms. The author explains the theory of resource allocation in gear processing, set the share of resources and resource consumption evaluation parameter gear machining process based resource scheduling, and establishes mathematical modal of resource allocation.(2) The thesis explains the theory of genetic algorithm, setting the binary encoding gear machining process allocation and resource allocation model based on the fitness function, and establishes rules of knowledge evolution base on the model of resource allocation. The author of counting and use it in the process of resource allocation in gear process industry.(3) Presetting all of the actual production elements. The thesis uses Matlab to test the research allocation model, and it proves that the new algorithm convergence speed and optimal solution compared to traditional genetic algorithms have been greatly improved, while the optimal solution obtained show that the algorithm can effectively solve the problem of resource allocation.