An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm

Abstract: To improve the generation efficiency and quality of the optimal cloud manufacturing service process, a cloud manufacturing service process optimization method based on the improved artificial bee colony algorithm is proposed. A service process response architecture oriented service clusters is constructed, which reduces the searching space by clustering similar services into a same group. An improved artificial bee colony algorithm is designed to improve the quality of service composition. Experiment results show that the optimal quality of cloud manufacturing service process generated by the proposed method is better than the state-of-art service process optimization algorithms. CCS CONCEPTS •Computing methodologies •Modeling and simulation •Model development and analysis •Model verification and validation