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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lou Shan-zuo Wu Yao-hua Xiao Ji-wei |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Control Science and Engineering, Shandong University, Jinan 250061, China (Lou Shan-zuo; Wu Yao-hua; Xiao Ji-wei) |
| Abstract | A new method was proposed for solving the multi-depot inventory-routing problems with stochastic demands. Firstly a model was established that incorporates working inventory cost, safety stock cost and stochastic routing cost. Secondly, due to the bad convergence while utilizing traditional decomposition and coordination method (DCM) to attack the problems, the coordination values were designed by genetic algorithm (GA). Moreover, an effective tabu search (TS) was designed to cope with the expected routing costs by Monte-Carlo sampling. Finally, simulation results prove the validity of the proposed method. |
| Starting Page | 42 |
| Ending Page | 46 |
| File Size | 96629 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424447541 |
| DOI | 10.1109/ICICISYS.2009.5357936 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Costs Stochastic processes Routing Multi-depot Decomposition and coordination Genetic algorithms Convergence Inventory-routing problem Tabu search Vehicle safety Genetic algorithm Sampling methods Dynamic programming Mathematical model |
| Content Type | Text |
| Resource Type | Article |
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