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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang Xiao-bo Li Yi-jun Sun Jin-ying |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Manage., Harbin Inst. of Technol. (Wang Xiao-bo; Li Yi-jun; Sun Jin-ying) |
| Abstract | With the rapid development of electronic commerce, as one of bottlenecks of electronic commerce development, the logistic distribution arouses wide attention. Vehicle routing problem (VRP) plays key role in logistic distribution system. The logistic distribution under electronic commerce environment has the character of dispersive customer positions, large order forms, little batches and many repeated routes. The traditional optimizing route methods meet with diversified problems in different extents and are difficult to play their roles. Therefore, according to the particularity of logistic distribution under electronic commerce environment, the improved two-phase algorithm needs to be adopted to get solutions. Namely, the customer group can be divided into several regions using hierarchy clustering method in first phase. And in every region it can be decomposed into small scale subsets according with some restraint conditions using scan algorithm. In second phase, get the solutions of the customer point in every group using the improved genetic algorithm. In fact it is route optimization problems of several single TSP model. In the end, the test proves the validity of this improved algorithm combining with examples |
| Sponsorship | Nat. Natural Sci. Found. of China Harbin Inst. of Technol. P.R. China |
| Starting Page | 493 |
| Ending Page | 497 |
| File Size | 6141665 |
| Page Count | 5 |
| File Format | |
| ISBN | 7560323553 |
| DOI | 10.1109/ICMSE.2006.313909 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-05 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | HARBIN INSTITUTE OF TECHNOLOGY |
| Subject Keyword | Clustering methods Logistic system optimization Optimization methods Vehicle routing problem Routing Improved two phase algorithm Electronic commerce Dispersion Vehicles Genetic algorithms Clustering algorithms Improved genetic algorithm Hierarchy clustering method Logistics Testing |
| Content Type | Text |
| Resource Type | Article |
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