Paper Title:
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.

  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, Z. F. Fang, Y. Wang, "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
$32.00
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