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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Feng Zhang Min Liu Zhuo Zhou Wei-ming Shen |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China (Feng Zhang; Min Liu; Zhuo Zhou; Wei-ming Shen) |
| Abstract | The evacuation path optimization in the disaster area plays an important role in reducing the human and social harm and saving aid time. In this paper, a novel algorithm for emergency evacuation path choice based on quantum ant colony algorithm (QACA) is proposed, and it avoids premature convergence and speeds up the convergence to the global optimal solution. In the proposed algorithm, Q-bit is used to represent the pheromone, and the rotation gate is used to update the pheromone. Simulation results show that the proposed algorithm is feasible and effective. |
| Starting Page | 576 |
| Ending Page | 580 |
| File Size | 433996 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467360845 |
| e-ISBN | 9781467360852 |
| DOI | 10.1109/CSCWD.2013.6581025 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-27 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optimization Logic gates Convergence Mathematical model Sociology Statistics Quantum computing path choice emergency evacuation quantum ant colony algorithm |
| Content Type | Text |
| Resource Type | Article |
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