Distribution Strategy in Storage and Retrieval System Based on Improved Genetic Algorithm

Xiang Dong

doi:10.4028/www.scientific.net/AMR.219-220.795

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220Distribution Strategy in Storage and Retrieval...

Distribution Strategy in Storage and Retrieval System Based on Improved Genetic Algorithm

Abstract:

Automated storage system has become a sign of enterprise production automation and management information. The design, optimization and simulation has become a key in modern logistics technologies. This paper studied the optimal cells distribution strategies and the storage and retrieval path optimization. Firstly, the distribution strategies are analyzed, then, the mathematical model is presented. An improved Genetic Algorithm is used to solve the model. The approach is finally illustrated by a practical example.

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Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

795-798

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.795

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Online since:

March 2011

Authors:

Xiang Dong

Keywords:

Automated Storage System, Distribution Strategy, Genetic Algorithm (GA), Retrieval Task, Storage Task

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References

[1] Zou Huihua , Hu Jiquan, Yang Yanfang. A Study of Optimization for Goods2Placement Distribution Strategies. Journal of Hubei University of Technology,2008,23(3):43-45.

Google Scholar

[2] Chen Yueting, He Fang. Location assignment optimization of AS/RS based on improved Particle Swarm Optimization. Computer Engineering and Applications, 2008, 44( 11) : 229- 231.

DOI: 10.1109/wcica.2008.4594428

Google Scholar

[3] Xie Shuxin, Chen Zailiang. Polychromatic Sets and Its Application in Storage A ssignment Modeling of Storage and Retrieval Systems. Journal of Suzhou University (Engineering Science Edition), 2010,30(6):43-46.

Google Scholar