Research on Path Optimization of Automated Warehouse Based on Ant Colony Algorithm
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.
Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang
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