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| Collaborative-climb monkey algorithm for optimal sensor placement |
| Received:July 08, 2013 Revised:November 17, 2013 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201406001 |
| KeyWord:optimal sensor placement monkey algorithm swarming behavior following behavior Dalian international trade mansion |
| Author | Institution |
| 伊廷华 |
大连理工大学 土木工程学院, 大连 |
| 张旭东 |
大连理工大学 土木工程学院, 大连 ;上海三益建筑设计有限公司, 上海 |
| 李宏男 |
大连理工大学 土木工程学院, 大连 |
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| Abstract: |
| The collaborative-climb monkey algorithm (CMA) for optimal sensor placement (OSP) is proposed by introducing the collaborative 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 swarming and following behavior of the monkey are brought in the climb process.The former can influence the search direction of the monkey by using the whole behavior of the monkey,while the latter by using the position of the global optimal monkey.The search efficiency and speed of the climb process can be effectively improved by the proper selection of the two behaviors.Finally,the parametric sensitivity analysis and OSP are carried out on the Dalian international trade mansion.The results show that the search efficiency of the CMA has greatly increased compared with the original MA,which can better solve the OSP problem. |