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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuhua Zhu Tong Zhen Qiuwen Zhang |
| Copyright Year | 2009 |
| Abstract | The paper describes the distribution vehicle routing optimization scheduling problem, and presents a mathematical model. Ant colony system which is a novel simulated evolutionary algorithm, it can good for NP-Hard problem. According to the features of the Vehicle routing problem with time windows and the ant colony algorithm, an improved ant colony system is proposed to solve this problem. An improved ant algorithm is proposed, Distribution of the path optimization solutions of the initial structure, route optimization, transfer rules, updating information etc. are improved. Experimental simulation proves the validity of the algorithm. |
| Starting Page | 71 |
| Ending Page | 74 |
| File Size | 930119 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769537368 |
| DOI | 10.1109/ICNC.2009.85 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ant colony optimization Routing Educational institutions Improved Ants Algorithm Paper technology Logistics Vehicle Scheduling Distributed computing Scheduling algorithm Vehicles Automotive engineering Transition rules Information science VRPTW Logistics |
| Content Type | Text |
| Resource Type | Article |
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