The Optimization of the Location of the Cargo in Three-Dimension Shelf: Employing the FP-Tree and the Artificial Fish Swarm Algorithms
The allocation issues of the location of the cargo have affected the operational efficiency of retail e-commerce warehouses tremendously. Adjusting the cargo location with the change of the order and the operation of the warehouse is a significant research area. A novel approach employing the FP-Tre...
Main Authors: | Shuiwang Zhang, Linping Fu, Rui Wang, Rong Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | Journal of Control Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/8832691 |
Similar Items
-
Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm
by: Shuiwang Zhang, et al.
Published: (2020-01-01) -
FP-tree Based Spatial Co-location Pattern Mining
by: Yu, Ping
Published: (2005) -
An Improved DV-Hop Algorithm Based on Artificial Fish Swarm Algorithm
by: X.Y. Yang, et al.
Published: (2015-12-01) -
Quantum Behaved Particle Swarm Optimization Algorithm Based on Artificial Fish Swarm
by: Dong Yumin, et al.
Published: (2014-01-01) -
Using Compressed FP-tree for Incremental Data Mining
by: Chien-min Lin, et al.
Published: (2009)