Research on Intelligent Solution of Service Industry Supply Chain Network Optimization Based on Genetic Algorithm

Author:

Zhou Yixin1ORCID,Guo Zhen2

Affiliation:

1. School of Business Economics, Shanghai Business School, Shanghai 201400, China

2. School of Economics, Harbin University of Commerce, Harbin 150000, Heilongjiang, China

Abstract

With the advent of the era of big data (BD), people’’s living standards and lifestyle have been greatly changed, and people’s requirements for the service level of the service industry are becoming higher and higher. The personalized needs of customers and private customization have become the hot issues of current research. The service industry is the core enterprise of the service industry. Optimizing the service industry supply network and reasonably allocating the tasks are the focus of the research at home and abroad. Under the background of BD, this paper takes the optimization of service industry supply network as the research object and studies the task allocation optimization of service industry supply network based on the analysis of customers’ personalized demand and user behavior. This paper optimizes the supply chain network of service industry based on genetic algorithm (GA), designs genetic operator, effectively avoids the premature of the algorithm, and improves the operation efficiency of the algorithm. The experimental results show that when m = 8 and n = 40, the average running time of the improved GA is 54.1 s. The network optimization running time of the algorithm used in this paper is very fast, and the stability is also higher.

Funder

Shanghai Philosophy and Social Science Youth Project

Publisher

Hindawi Limited

Subject

Health Informatics,Biomedical Engineering,Surgery,Biotechnology

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Retracted: Research on Intelligent Solution of Service Industry Supply Chain Network Optimization Based on Genetic Algorithm;Journal of Healthcare Engineering;2023-11-01

2. Mathematical Expression Recommendation Model Based on Genetic Algorithm;2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON);2023-08-05

3. Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research;Annals of Operations Research;2023-07-11

4. Analysis of a Wireless Sensor Network's Performance using Novel Improved Communication Steadiness Routing over Cluster-Chain Mobile Agent Routing;2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF);2023-01-05

5. Novel Improved Communication Steadiness Routing for Wireless Sensor Network's Performance Analysis compared with Network Boundary Maintenance Routing;2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF);2023-01-05

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