学位论文详细信息
| A genetic algorithm for the sensor location problem. | |
| Sensor location problem;Genetic algorithm;Matlab | |
| Di Zhang | |
| University:University of Louisville | |
| Department:Industrial Engineering | |
| 关键词: Sensor location problem; Genetic algorithm; Matlab; | |
| Others : https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=2633&context=etd | |
| 美国|英语 | |
| 来源: The Universite of Louisville's Institutional Repository | |
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【 摘 要 】
We study a sensor location problem that minimizes the total number of sensors to install at road intersections in a transportation network so that the traffic flows on the entire network are uniquely determined. We employ the concepts of hidden network and incremental flow in analyzing the problem, and propose a genetic algorithm for its solution for large-size networks. The algorithm is programmed in Matlab and tested on randomly generated network. Numerical results suggest the algorithm is efficient.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| A genetic algorithm for the sensor location problem. | 4844KB |
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