Research on Cloud Manufacturing Service Composition Method Based on Improved Harris Hawks Optimization Algorithm
In cloud manufacturing environment,the cloud platform provides on-demand services for personalized needs in the form of manufacturing service composition,which can significantly improve order response speed and resource utilization.This paper uses Harris Hawks optimization algorithm to construct manufacturing service composition,and establishes a unique coding and decoding mechanism for the logistics transfer between manufacturing services.In order to solve the premature convergence problem of the algorithm,the Logistic one-dimensional chaotic system is introduced,the nonlinear escape energy updating mechanism and three types of neighborhood search strategies are designed.Experiments verify the significant advantages of the improved Harris Hawk algorithm in solving the cloud manufacturing service portfolio optimization problem.
国家科技期刊平台
NSTL
万方数据
