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

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 201-203)

Edited by:

Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang

Pages:

1112-1115

DOI:

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

Citation:

H. P. Li et al., "Research on Path Optimization of Automated Warehouse Based on Ant Colony Algorithm", Advanced Materials Research, Vols. 201-203, pp. 1112-1115, 2011

Online since:

February 2011

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Price:

$35.00

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