Volume 13 Number 10 (Oct. 2018)
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JCP 2018 Vol.13(10): 1164-1170 ISSN: 1796-203X
doi: 10.17706/jcp.13.10.1164-1170

Research on Optimization of Intelligent Warehousing Business of State Grid Based on Genetic Algorithm

Xin Jin
School of Information, Central University of Finance and Economics, Beijing, China.
Abstract—The optimization of the warehousing business is very important for establishing the modernized material management system and optimizing the material distribution efficiency of the state grid. In order to improve the efficiency of warehouse operation, this paper proposes a sorting business optimization strategy based on GA algorithm. The results of the simulation experiments show that the picking time and distance are greatly reduced with the GA optimization algorithm compared with before optimization. The GA optimization algorithm improved the efficiency of the picking, proved the reliability of the optimization strategy this paper proposed. The optimization strategy of sorting business will also have positive reference for other warehousing business optimization.

Index Terms—GA algorithm, state grid, optimization of warehousing business, sorting business.

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Cite: Xin Jin, "Research on Optimization of Intelligent Warehousing Business of State Grid Based on Genetic Algorithm," Journal of Computers vol. 13, no. 10, pp. 1164-1170, 2018.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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