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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang, Bin Liu, Ying Hei, Xinhong Wang, Lei Zhang, Zhiqiang |
| Copyright Year | 2014 |
| Abstract | Aiming at the problem of intelligent path guidance in the parking lot, an improved Particle Swarm Optimization Algorithm(PSO) is proposed in this paper to find the optimal path. In order to overcome the shortcomings that standard PSO traps into local optima easily and improve the convergence speed of algorithm, the concept of GA and Multi-thread Technology are introduced. The experiment results show that the proposed parallel hybrid PSO algorithm(PHPSO) is relatively steady with faster convergent rate. Especially for multi-nodes, the efficiency is improved obviously. So the proposed PHPSO is well suited for large parking lot. |
| Starting Page | 568 |
| Ending Page | 572 |
| File Size | 775141 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479974344 |
| DOI | 10.1109/CIS.2014.150 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Heuristic algorithms Sociology parking guidance GA Statistics Particle swarm optimization parallel computing PSO Convergence Vehicles |
| Content Type | Text |
| Resource Type | Article |
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