Order Picking Path Optimization Based on Genetic Algorithm


Article Preview

Optimizing order picking path of wares properly has been an effective method of advancing automated warehouse operation efficiency. By analyzing the work characteristics of automated warehouse order picking, an automated warehouse order picking mathematical model is proposed which takes total travel time of order picking as the target function. Adopting the strategy of combination of roulette selecting and the optimal individual preservation to implement selecting operation in solving the mathematical model, a good experimental simulation result is received.



Edited by:

Long Chen, Yongkang Zhang, Aixing Feng, Zhenying Xu, Boquan Li and Han Shen






Z. L. Chen et al., "Order Picking Path Optimization Based on Genetic Algorithm", Key Engineering Materials, Vol. 464, pp. 379-382, 2011

Online since:

January 2011




[1] Chang Faliang, Liu Zengxiao, Xin Zheng, Liu Dongdong. System Engineering Theory & Practice, Vol. 43(2007), No2, pp.139-143.

[2] Khojasteh Ghamari, Yaghoub. International Journal of Information and Management Sciences. Vol. 19 (2008), p.651-665.

[3] Zhou Ming, Sun Shudong. Genetic Algorithm Theory and Applications. National Defense Industry Press , Beijing (1999).

[4] Dukic Goran, Oluic Cedomir. Journal of Mechanical Engineering, Vol. 50(2004), p.530-535.

[5] Ascheuer Norbert, Grotschel Martin. Mathematical Methods of Operations Research. Vol. 9(2008), pp.501-515.

In order to see related information, you need to Login.