Manufacturing Cloud Service Composition Optimization Based on Usability Analysis
Cloud manufacturing is a new form of manufacturing resource organization under the background of informatization and intelligence.It has been studied and applied at home and abroad and has broad development prospects.Manufacturing cloud service composition optimization is one of the key technologies,which directly determines the quality and efficiency of cloud manufacturing services.Starting from the research of service usability,the definition of manufacturing cloud service composition usability was given.According to the definition,the usability analysis indicator system was constructed from effectiveness,efficiency and satisfaction.A new multi-objective optimization model of manufacturing cloud service composition was established.Furthermore,an improved NSGA-Ⅲ algorithm was proposed,which inherited the advantages of differential evolution algorithm and genetic K-means clustering algorithm,and improved the search efficiency and convergence of the original algorithm.The feasibility and efficiency of the proposed model and algorithm were proved by the algorithm test and manufacturing task simulation.