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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wenxin Hu Ye Wang Jun Zheng |
| Copyright Year | 2012 |
| Abstract | Based on the conception of storing by category as well as taking the cost of storing, fetching and place occupation under consideration, this paper denotes a Artificial Bee Colony inspired Particle Swarm Optimization algorithm intending to figure out the problem of storage position allocation in the warehouse schedule. a value called COI (Cube-per-order index) is introduced in the allocation procedure as the criterion of categories in order to partition the goods. in the last part of this paper, the efficiency and result of this algorithm are analyzed by deploying it into the practical applications, which also proves that this algorithm can deal with this problem effectively. |
| Starting Page | 173 |
| Ending Page | 176 |
| File Size | 444334 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467326469 |
| DOI | 10.1109/ISCID.2012.51 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-28 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Artificial Bee Colony algorithm Layout Warehouse allocation Resource management Mathematical model COI Particle swarm optimization Optimization Equations Particle Swarm Optimization |
| Content Type | Text |
| Resource Type | Article |
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