Research and Development of Cloud Manufacturing Service Composition System Based on Intelligent Optimal Algorithm

Abstract

For solving the problems of manufacturing resource allocation and industrial structure, an Intelligent Cloud Manufacturing Service Composition (ICMSC) method is proposed with cloud-entropy-genetic-algorithm. The development platform hierarchical construction and the development tools application are studied, and a CMSC system is developed. The traditional genetic operators are improved by using the normal cloud model. The improved cloud-entropy-genetic-algorithm combined with business intelligence is applied to the service composition and optimization module of CMSC system. Taking the CMSC of medical oxygen inhaler as an example, service selection, composition and optimization are carried out in CMSC system. The results show that it is feasible to apply the ICMSC method based on cloud-entropy-genetic-algorithm to CMSC system.