Research on Path Optimization of Automated Warehouse Based on Ant Colony Algorithm

Hao Ping Li; Zi Fan Fang; Ying Wang

doi:10.4028/www.scientific.net/AMR.201-203.1112

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 201-203Research on Path Optimization of Automated...

Research on Path Optimization of Automated Warehouse Based on Ant Colony Algorithm

Abstract:

Based on analysis of the cargo selecting strategy of fixed shelf automated warehouse, the idea of path optimization is put forward and the stacker path optimization method is studied. A mathematical model of stacker operation path optimization is built to minimize the length of operation path and the operation time. The model is solved by using the ant colony optimization method. Simulation shows that chosen stacker operation path by using the optimization model and optimization algorithm, can not only reduce energy consumption and warehouse operating costs, but also improve the efficiency of goods storage.

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Advanced Manufacturing Systems, ICMSE 2011

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Periodical:

Advanced Materials Research (Volumes 201-203)

Pages:

1112-1115

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.201-203.1112

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Online since:

February 2011

Authors:

Hao Ping Li, Zi Fan Fang, Ying Wang

Keywords:

Ant Colony Algorithm (ACA), Automated Warehouse, Path Optimization

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References

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