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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang Geng-Sheng Yu Yun-Xin |
| Copyright Year | 2010 |
| Abstract | Vehicle routing problem(VRP) is an NP-hard problem, Ant colony algorithm is an effective tool for solving combinatorial optimization problems like VRP. On the base of understanding VRP problem and Ant Colony Algotithm(ACA), analysis ACA’s application in VRP, for its shortcomings, reference MMAS thought, introduce dynamic negative feedback mechanism and appropriate increase the visibility mechanism, to improve the ant colony algorithm, then combine with the saving function for VRP problem. Simulate result shows that: The proposed algorithm is better than ACS in optimum value and the rate of convergency, has a strong practical, can be effective to solve the VRP problem. |
| Starting Page | 129 |
| Ending Page | 133 |
| File Size | 515785 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424467303 |
| e-ISBN | 9781424467433 |
| DOI | 10.1109/IITSI.2010.86 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-02 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Costs Dynamic negative feedback mechanism Saving function Transportation Routing Vehicle dynamics Information technology ACS Negative feedback NP-hard problem VRP Information security MMAS Mathematical model Informatics |
| Content Type | Text |
| Resource Type | Article |
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