sis 23(6):

Research Article

Role Mechanism of Enterprise Management Efficiency Improvement Based on Improved Drosophila Algorithm

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  • @ARTICLE{10.4108/eetsis.3832,
        author={Hui Wang},
        title={Role Mechanism of Enterprise Management Efficiency Improvement Based on Improved Drosophila Algorithm},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={10},
        number={6},
        publisher={EAI},
        journal_a={SIS},
        year={2023},
        month={9},
        keywords={fruit fly optimization algorithm, business management, efficiency improvement, management innovation},
        doi={10.4108/eetsis.3832}
    }
    
  • Hui Wang
    Year: 2023
    Role Mechanism of Enterprise Management Efficiency Improvement Based on Improved Drosophila Algorithm
    SIS
    EAI
    DOI: 10.4108/eetsis.3832
Hui Wang1,*
  • 1: Shandong Electric Power Engineering Consulting Institute Corp
*Contact email: 20735282@qq.com

Abstract

INTRODUCTION: With today's intelligent technology in full swing, many companies and enterprises need to catch up to the reality of internal management. To make the company better adapt to society and realize its sustainable development, it is essential to optimize the internal management means and improve the management efficiency of the enterprise. OBJECTIVES: To find the optimal staff allocation scheme and the best decision path by utilizing the improved fruit fly algorithm and establishing the enterprise's regular task and staff allocation model. METHODS: We analyze the standard swarm intelligence algorithms, and then we compare the differences between the basic fruit fly algorithm, the optimized fruit fly algorithm, and the above swarm intelligence algorithms. The fruit fly algorithm is utilized, and the algorithm is optimized to fit the actual enterprise management model. At the same time, the influence of Levy's flight on the Drosophila algorithm in enterprise management efficiency improvement is studied. Finally, it points out the application fields, the optimized Drosophila algorithm's current situation, and the existing problems and shortcomings. RESULTS: By comparing the performance of the Drosophila algorithm with that of the other three optimization Drosophila algorithms, the influence factors of Levy flight on the enterprise's internal management allocation are obtained, making the algorithm a good fit for the model. The results of the optimal allocation scheme under known conditions and the best decision were obtained. CONCLUSION: The experimental results show that the optimized fruit fly algorithm can solve the multi-parameter allocation problem of enterprise management, which has high reference value and significance for general enterprise internal management.