Optimization of Automated Warehouse Location Based on Genetic Algorithm
Wanlei Wang, Jian Gao, Tianyi Gao, Haiting Zhao
Available Online June 2017.
- https://doi.org/10.2991/caai-17.2017.70How to use a DOI?
- logistics; location assignment; genetic algorithm; automated warehouse
- The automated warehouse built in many enterprises still need through manual intervention or random allocation method for distribution of goods allocation. This distribution does not guarantee that the utilization rate of warehouse is high, especially when more types and a large number of goods, need more scientific and reasonable scheme for the storage of goods, and enhance great application value and practical significance for the competitiveness of enterprises. In order to improve the efficiency and utilization of automated warehouse, we take automated warehouse as the object to study the optimization of the storage location of goods based on the genetic algorithm in this paper.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Wanlei Wang AU - Jian Gao AU - Tianyi Gao AU - Haiting Zhao PY - 2017/06 DA - 2017/06 TI - Optimization of Automated Warehouse Location Based on Genetic Algorithm BT - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017) PB - Atlantis Press SP - 309 EP - 313 SN - 1951-6851 UR - https://doi.org/10.2991/caai-17.2017.70 DO - https://doi.org/10.2991/caai-17.2017.70 ID - Wang2017/06 ER -