Enterprises Performance Prediction Model Based on Improved Fruit Fly Optimization Algorithm : Taking Intelligent Manufacturing Enterprises in China for Example

Abstract

With the artificial intelligence era, more and more advanced artificial intelligent methodologies are proposed and widely applied in various fields to predict the enterprises performance effectively. Moreover, the intelligent manufacturing process has occupied the crucial position in promoting the transformation and upgrading of the manufacturing industry in China as the implementation of many government policies. The aim of this study is to strengthen the development of intelligent manufacturing industry by constructing the most appropriate intelligent manufacturing enterprises performance prediction model in China. To rise the prediction precision, the improved Fruit Fly Optimization Algorithm (CLFOA) is proposed this study. The result shows the enterprises performance prediction model based on CLFOA has higher prediction precision and shorter running time than the basic FOA model and the non-optimized model.