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| Immune monkey algorithm for optimal sensor placement |
| Received:October 09, 2012 Revised:January 23, 2013 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201402006 |
| KeyWord:optimal sensor placement monkey algorithm immune mechanism Dalian world trade building |
| Author | Institution |
| 伊廷华 |
大连理工大学 建设工程学部 土木工程学院, 大连 |
| 张旭东 |
大连理工大学 建设工程学部 土木工程学院, 大连 |
| 李宏男 |
大连理工大学 建设工程学部 土木工程学院, 大连 |
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| Abstract: |
| The immune monkey algorithm (IMA) for optimal sensor placement (OSP) is proposed by introducing the immune mechanism of biosphere into the monkey algorithm (MA).The dual-structure coding method is used to overcome that the original MA can only solve the optimization of continuous variables.Then,the chaotic search is adopted to initialize the monkey's location for ensuring the uniform distribution of monkey,which can improve the global search capability.Besides,the deep climb is introduced in the climb process to enhance the local search capability of the algorithm.After the end of the climb process,the first selection by density-dependent mechanism on the monkey is performed and the immune clone is done on the monkeys with best location to guarantee the diversity of monkey.While after the end of the watch process,the second selection is added based on the fitness and the immune vaccination is carried out on the monkeys with poor location to improve the convergence of the algorithm.Finally,the parametric sensitivity analysis and OSP is done on the Dalian world trade building.The results show that the search efficiency of the IMA greatly increases compared with the original MA,which can better solve the OSP problem. |
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